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compare_tools

Compare up to five tools or agents using recorded interaction data to get a ranked list with success rates and confidence levels, helping you choose the right tool for a task.

Instructions

Compare multiple tools or agents by their recorded interaction data. Returns a ranked list with success rates and confidence levels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_typeNoFilter by task type if you want task-specific comparison
candidatesYesList of tool/agent identifiers to compare

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.11

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden, but it only discloses the return contents (ranked list, success rates, confidence levels) and is silent on safety profile, permissions, or candidate-count limits. The return-format disclosure is genuinely useful since there is no output schema.

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?

Two tightly written sentences with zero filler; the purpose is front-loaded and the return behavior follows immediately.

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?

With no output schema, the description usefully covers what is returned, and the input schema is fully documented. It stops short of noting the read-only nature of the comparison or any data prerequisites, which would round out an otherwise adequate definition.

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 both parameters are already documented in the schema, including the task_type filter intent and the candidate list constraints. The description adds no parameter-level detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb (compare) and resource (tools/agents) plus the data source (recorded interaction data) and the return shape. This is clearly distinguishable from siblings like record_interaction and get_node_stats without opening any schema.

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?

The description never says when to use this tool versus alternatives such as get_node_stats, nor does it state prerequisites (e.g., that interaction data must already be recorded). Usage is only implied by the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.