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MCP Tool Evidence Binding Quickstart

Assay does not detect tool poisoning. It shows what bounded evidence can safely connect: which MCP tool descriptions were visible, which tool was called, what effect was measured, and what claim is safe.

This is an experiment-scoped synthetic harness (assay.experiment.mcp_tool_evidence_binding.binding_cell.v0). It is not a product API, not a security scanner, and it never contacts a live MCP server. It exists to make one question concrete and reviewable:

When an MCP tool description is visible to the model and a tool call produces a measured effect, what claim is safe, and what is deliberately left unsaid?

Run It

cd docs/experiments/mcp-tool-evidence-binding-harness-2026-05
python3 mcp_tool_binding_harness.py --out-dir ./out --assay-commit demo

This emits one directory per scenario under ./out/, each containing the visible tool descriptions, the tool call, the measured effect when one was observed, and a binding-cell.json with the claim outcome and its non-claims.

The six committed reference outputs are indexed from runs/README.md and stored under runs/starter-synthetic/. They are regenerated and compared byte-for-byte by the harness test suite.

Golden Example 1

Scenario: effect_outside_declared_tool_boundary.

The visible read_file tool declares a read-only boundary: filesystem_read:/workspace/allowed/*. The measured effect is a write to /workspace/outside/hidden.txt.

The binding cell records:

Field Value
called_tool_name read_file
measured_effect_kind filesystem_write
effect_capture_status observed
effect_within_declared_boundary false
join_key / join_grade tool_call_id / strong
claim_outcome effect_outside_declared_tool_boundary

The safe read: the measured write left the visible read-only boundary, bound to the same tool_call_id. That is the whole claim.

What it deliberately does not say:

  • does_not_classify_malicious_intent
  • does_not_claim_policy_failure
  • does_not_claim_root_cause
  • does_not_detect_tool_poisoning

A boundary divergence is evidence about an effect, not a verdict about intent. The cell carries the divergence and refuses the accusation in the same row.

Golden Example 2

Scenario: call_made_with_other_descriptions_visible.

Two tools are visible to the model: read_file (read-only) and write_file (write to /workspace/out/*). The model calls read_file; the measured effect stays inside its boundary.

This is the MCP-ITP shape: an influencing tool description can be co-visible without itself being called. The binding cell records the complete visible set, not just the called tool:

Field Value
called_tool_name read_file
co_visible_tool_names ["read_file", "write_file"]
effect_within_declared_boundary true
claim_outcome call_isolated_in_visible_context

The safe read: the called tool is bound to its own description and effect, while the full co-visible description set is preserved as context.

What it deliberately does not say:

  • does_not_claim_co_visible_description_caused_call

Co-visibility is recorded as a fact. Causation between another visible description and the call is not claimed. That is exactly the inference the evidence cannot support, so it is named as a non-claim rather than left ambiguous.

All Six Scenarios

Scenario Claim outcome Safe read What it deliberately does not say
benign_tool_call_bound bound_tool_evidence Visible description, call, and measured effect align inside the declared boundary, joined by tool_call_id. Does not claim the tool is safe in general.
description_changed_before_call description_drift The model-visible description digest differs from the referenced manifest before the call. Does not claim the change was malicious or intentional.
effect_outside_declared_tool_boundary effect_outside_declared_tool_boundary A bound call produced a measured effect beyond the visible boundary. Does not claim maliciousness, policy failure, or root cause.
call_made_with_other_descriptions_visible call_isolated_in_visible_context The called tool is bound; other visible descriptions are recorded as co-visible context. Does not claim co-visible descriptions caused the call.
description_visible_no_call diagnostic_only A description was visible; no call and no effect followed. Does not claim the tool had no effect in general.
call_made_no_measurable_effect inconclusive A call was observed but no effect could be measured in the capture surface. Does not claim the call was inert.

What This Is

  • A synthetic, runnable demonstration of bounded description -> call -> effect -> claim reading.
  • A review aid where non-claims are first-class output.
  • An experiment-scoped reference for the starter harness outputs.

What This Is Not

  • A tool-poisoning detector.
  • An intent classifier.
  • An MCP client, server, provider, or transport ranking.
  • A product API or receipt family.
  • A live MCP server or tunnel deployment.

For the research framing and scenario rationale, see ../mcp-tool-evidence-binding-2026-05.md.