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ivanantigravity-lgtm

Model Council MCP Server

tri_model_compare

Run your objective and options through three parallel AI models to compare and synthesize responses.

Instructions

Compare several options through three different model families.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
presetNochina
contextNo
optionsYes
objectiveYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description bears full burden for transparency. Only states 'compare several options' without indicating whether operations are read-only, destructive, or require specific permissions. Behavioral traits like side effects or limitations are absent.

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

Conciseness3/5

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

Description is a single sentence, which is concise but lacks structure. No bullet points or front-loading of key information. Could be improved by adding context or purpose without increasing verbosity significantly.

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 4 parameters, 2 required, and an output schema, the description is insufficient. It does not explain what 'three different model families' are, how comparison works, or what the output contains. Even though output schema exists, the description should clarify the tool's function beyond the minimal statement.

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

Parameters1/5

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

Schema description coverage is 0%, and description adds no meaning to parameters. Parameter names ('objective', 'options', 'preset', 'context') are not elaborated. The description fails to clarify their roles or expected formats.

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

Purpose3/5

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

Description states verb 'compare' and resource 'options through model families', which provides basic purpose. However, it lacks specificity on the type of comparison or output, and does not clearly differentiate from sibling tools like 'council_model_guide' or 'tri_model_scan'.

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 on when to use this tool versus alternatives. No mention of contexts, prerequisites, or when not to use it. Sibling tools exist but no differentiation provided.

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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