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owenwangmar

fja-mcp

by owenwangmar

compare_outputs

Evaluate two candidate responses and recommend the one more aligned with the FJA framework.

Instructions

Compare two candidate responses and recommend the one more aligned with FJA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
response_aYes
response_bYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

There are no annotations, so the description must carry the full burden of explaining behavior. It states the core function but does not disclose details such as whether the operation is read-only, how the recommendation is formatted, or what 'FJA' means, leaving significant behavioral ambiguity.

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 a single, focused sentence that conveys the essential purpose without unnecessary words. It is well-structured and front-loaded.

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?

For a tool with three parameters, no annotations, and a sibling that could be confused, the description is too minimal. It lacks context about FJA, parameter roles, when to use it, and what the output format is, despite having an output schema present.

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

Parameters2/5

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

The schema provides 0% description coverage for the three parameters. The description only hints at the roles of response_a and response_b ('two candidate responses') but does not explain the 'prompt' parameter or clarify how each parameter contributes to the comparison.

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 clearly states a specific action ('Compare two candidate responses and recommend the one more aligned with FJA') with identifiable resources (two candidate responses). It is clear but does not explicitly differentiate from the sibling tool 'evaluate_output', so it misses the top score.

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?

No guidance is provided on when to use this tool versus the sibling 'evaluate_output'. The description gives no context for when this comparison is appropriate or what alternatives exist.

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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