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Plot Speaks

Check an accusation

check_accusation

Checks a formal accusation in a Plot Speaks mystery. Returns the verdict line for the accused person, starting Correct. or Innocent., and the name it matched. Records the accusation and verdict anonymously.

Input Schema

NameRequiredDescriptionDefault
slugYesThe story slug
accusedYesThe name of the person the user accused
play_idNoThe play id from start_story

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The description adds useful behavioral details beyond the annotations: it returns a verdict line starting with 'Correct.' or 'Innocent.' and the matched name, and it records the accusation and verdict anonymously. The annotations already indicate it is a non-read-only, non-destructive, non-idempotent operation, and the description complements this well, though it does not discuss repeated-call behavior or error cases.

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?

The description is three tight sentences: purpose, return value, and side effect. It is front-loaded and every sentence provides useful information with no wasted text.

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 simple three-parameter mutation with no output schema, the description covers the core behavior, return format, and anonymity side effect. It leaves minor gaps around duplicate accusations and usage alternatives, but overall it is complete enough for correct invocation.

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 description coverage is 100%, so each parameter is already documented. The description mentions the accused person and matched name but does not add syntax, format, or constraint details beyond what the schema provides, so the baseline of 3 applies.

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?

The description states a specific verb and resource: it checks a formal accusation in a Plot Speaks mystery. It also explains the return value and side effect, making the purpose clear, but it does not explicitly distinguish this tool from siblings like game_answer or reveal_solution.

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

Usage Guidelines3/5

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

The description implies the tool is used when a user makes a formal accusation in a mystery, but it does not explicitly state when to use it versus alternatives or when not to use it. The context is clear enough for an agent to infer, but usage guidance is only implied.

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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