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validate_paper_strategy

Read-onlyIdempotent

Check a strategy spec (see get_paper_catalog) without saving it; returns the normalized spec or the error with its path.

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": {
      "spec": "<spec>"
    },
    "name": "validate_paper_strategy"
  }
}

Input Schema

NameRequiredDescriptionDefault
specYesStrategy spec in the shape described by get_paper_catalog (filters, entry, stop, sizing, session and the other blocks).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and openWorld. The description adds real value on top: it confirms nothing is persisted and that failures come back as an error with its path, which tells the agent how to interpret bad input rather than throwing. It does not discuss cost or validation depth.

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?

One sentence, front-loaded with the action and immediately followed by the non-persistence caveat and return behavior. Every clause carries information; nothing is padding.

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 nested-object validation tool with an output schema, the description covers what an agent needs: input source, side-effect profile, and failure shape. Slightly thin on how strict validation is or what a normalized spec changes, but the output schema carries return details.

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 100% and the single 'spec' parameter is already documented as matching the get_paper_catalog shape. The description largely echoes that pointer, adding no extra meaning about individual blocks or nesting behavior. Baseline 3 is appropriate.

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

Purpose5/5

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

Specific verb ('Check a strategy spec') plus the crucial negative scope ('without saving it'), which separates it cleanly from save_paper_strategy and start_paper_strategy in the sibling list. The pointer to get_paper_catalog also anchors what a 'spec' is.

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?

The phrase 'without saving it' tells the agent this is the pre-flight/dry-run option, and the reference to get_paper_catalog supplies the prerequisite for constructing input. It stops short of explicitly naming save_paper_strategy as the alternative, but the contrast is clear from context.

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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