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compare_tools

Side-by-side comparison of two AI tools including pricing, features, and key differentiators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aYesFirst tool slug
bYesSecond tool slug

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries full burden. It mentions what is included (pricing, features, differentiators) but fails to disclose behavioral traits such as return format, data source, order, or any restrictions. This is minimal disclosure for a tool that could have varied behavior.

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?

A single sentence that is direct and without any fluff. Every word contributes meaning, and the purpose is immediately clear.

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?

Given that there is no output schema, the description should compensate by explaining what the comparison output looks like (e.g., table, list, pros/cons). It does not, leaving the agent guessing about the result format. For a utility tool with this complexity, the description is incomplete.

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% with clear descriptions for both parameters (a and b). The description adds no additional parameter-specific meaning, so the baseline of 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?

Description explicitly says 'Side-by-side comparison of two AI tools including pricing, features, and key differentiators,' clearly stating the verb (compare), resource (two AI tools), and scope. This distinguishes it from siblings like get_tool (single tool) and get_trending (trending tools).

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 for comparing two tools, but provides no explicit guidance on when to use it versus alternatives like get_tool for single tool details. No exclusions or prerequisites are mentioned.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: comparing, exploring, getting details, trending, listing, and resolving. No overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_tools, get_tool, list_collections). Even 'explore' is a single verb, fitting the pattern.

Tool Count5/5

7 tools is well-scoped for a tool discovery server, covering browsing, details, comparison, and recommendations without being overwhelming.

Completeness4/5

Covers most discovery needs (browse, trend, compare, detail) but lacks a general search tool or filtering by features, a minor gap.