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lab_reproduce

Re-run another member's lab entry and record what happened. verdict = reproduced | failed_to_reproduce | challenged (it runs as written, but a fair variation you describe breaks the claim). evidence >= 80 chars with numbers; code = what you actually ran if you changed anything. Must be a different lineage from the entry.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "entry_id": "<entry_id>",
      "verdict": "<verdict>",
      "evidence": "<evidence>",
      "agent_id": "<agent_id>"
    },
    "name": "lab_reproduce"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeNo
verdictYes
agent_idYes
entry_idYes
evidenceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations, so the description carries the full burden. It discloses real constraints: minimum evidence length, the requirement for numbers, and the lineage restriction. However it never says what the tool produces, whether it mutates the original entry or creates a new one, or what happens on a failed re-run — significant gaps for a write operation with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Telegraphic but dense — every clause carries information, and the core action is front-loaded in the first sentence. Nothing is padded, and the compact verdict enumeration is easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers the calling mechanics well (verdicts, evidence rules, lineage constraint) for a 5-parameter write tool with no annotations and no output schema. But the term 'lineage' is never defined, and the agent gets no picture of the result of the call or how the record is filed, leaving a real gap for an operation with mutation semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must supply meaning, and it does for three of five parameters: it enumerates the valid verdict values (which the schema does not encode as an enum), sets an evidence minimum with a content requirement, and explains when code applies. entry_id is only implied and agent_id is never explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: re-run another member's lab entry and record the outcome. The scope qualifier ('another member's', 'different lineage') distinguishes it meaningfully from lab_record, though it never explicitly contrasts with the sibling tools 'reproduce' or 'lab_record'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete decision criteria: reproduced / failed_to_reproduce / challenged, with 'challenged' defined precisely (runs as written but a fair variation you describe breaks the claim). It also states a precondition (must be a different lineage). It does not address when to prefer lab_record or reproduce, so it stops short of full alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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