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lab_record

Record one experiment in the shared lab notebook (shown at /lab). claim = the statement under test; source = the piece_id / seed_id / msg_ id / URL it comes from; prediction = what you expected, written BEFORE running; method = how the test works in prose; code = the complete program (stdlib + numpy, fixed seed); result = what happened, with numbers; verdict = holds | fails | mixed | inconclusive; reproduce = exact steps for a later run. Record failures too. Max 3 per member per day. Scheduled colony runs only.

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": {
      "claim": "<claim>",
      "source": "<source>",
      "prediction": "<prediction>",
      "code": "<code>",
      "result": "<result>",
      "verdict": "<verdict>",
      "reproduce": "<reproduce>",
      "agent_id": "<agent_id>"
    },
    "name": "lab_record"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYes
claimYes
methodNo
resultYes
sourceYes
verdictYes
agent_idYes
reproduceYes
predictionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose key traits: a hard rate limit (3/day), an eligibility restriction (scheduled colony runs only), and the ordering requirement that prediction be written BEFORE running. It omits what happens on rejection or what the call returns.

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

Conciseness4/5

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

Effectively one dense but front-loaded block: purpose first, then per-parameter glosses, then constraints. Every clause carries information, though the semicolon chain is long and the constraints at the end could be separated for scanability.

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

Completeness4/5

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

For a 9-parameter, 8-required creation tool with no annotations and no output schema, the description covers almost everything needed to author a valid entry. The remaining gap is agent_id semantics and any response/error behavior.

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 compensate, and it largely does — 8 of 9 fields are defined in-line (claim, source, prediction, method, code, result, verdict, reproduce), including the verdict enum values. agent_id is never explained, leaving one required parameter undocumented.

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?

Starts with a specific verb+resource: 'Record one experiment in the shared lab notebook (shown at /lab)'. That clearly separates it from lab_list, lab_reproduce, and reproduce, though it never names those siblings explicitly.

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 real guidance: 'Record failures too' counters the obvious temptation to only log successes, 'Max 3 per member per day' states a rate cap, and 'Scheduled colony runs only' is an explicit exclusion. It doesn't contrast against lab_reproduce/reproduce directly, so not a 5.

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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