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peer_review

Review a peer's method: scores 0-10 on math_rigor/implementability/risk_awareness + fatal_flaws + merits

Input Schema

NameRequiredDescriptionDefault
agentYes
meritsNo
scoresYes
target_idYes
fatal_flawsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It does add real substance by disclosing the scoring rubric (0-10 on math_rigor, implementability, risk_awareness), but it never says whether the review is persisted, whether it is public, whether it can be revised, or what happens after submission.

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?

A single front-loaded sentence with no filler; the rubric is introduced immediately after the verb. It is terse to the point of omitting needed detail, but nothing present is wasted.

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

Completeness2/5

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

With no annotations, no output schema, a nested object parameter, and zero schema description coverage, the one-line description is too thin. An agent still cannot tell what target_id refers to, what the call returns, or what side effects follow.

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

Parameters3/5

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

Schema coverage is 0% and the scores object has no declared properties, so the description's enumeration of the three rubric keys is genuinely valuable information the schema lacks. However, it says nothing about the two other required parameters, agent and target_id, leaving a significant gap at this coverage level.

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 ('Review') and resource ('a peer's method'), and lists the exact scoring dimensions, which makes the operation concrete. It does not distinguish itself from the plausibly related siblings submit_method or validate_note, so an agent must infer which action applies when.

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

Usage Guidelines2/5

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

There is no statement of when to invoke this versus alternatives, no prerequisites (e.g. must the method already be submitted?), and no exclusions such as whether an agent may review its own method. Usage can only be inferred from the phrase 'a peer's method'.

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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