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Get a tool

get_tool
Read-onlyIdempotent

Fetch the full editorial record for one AI tool by slug: rating, pricing, pros/cons, target audience, use cases, FAQ, and the affiliate-safe /go redirect link.

Input Schema

NameRequiredDescriptionDefault
slugYesTool slug, e.g. 'claude-code'.

Output Schema

NameRequiredDescriptionDefault
urlNo
nameNo
slugNo
categoryNo
changelogUrlNo
editorRatingNo
pricingModelNo
affiliateLinkNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and openWorldHint=false, so the safety profile is fully covered. The description adds payload-level context (the affiliate-safe /go redirect link, listed editorial fields) but says nothing about behavior beyond that, such as lookup failure handling or auth. Adequate but not rich.

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?

One sentence, verb-first, zero filler. The field enumeration is longer than a bare statement but each item defines the returned record's scope, so nothing is wasted.

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 single-parameter read tool with full annotations and an output schema, the definition is essentially complete; listing return fields is redundant with the output schema but harmless. The only gap is no mention of the not-found / invalid-slug case.

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% and the single 'slug' parameter is already documented with an example in the schema. The description's phrase 'by slug' merely restates the schema, adding no format, normalization, or resolution semantics. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb and resource ('Fetch the full editorial record for one AI tool by slug') and enumerates the payload (rating, pricing, pros/cons, FAQ, /go link), which implicitly separates it from list_tools and get_tool_changelog. It never names a sibling explicitly, so it lands at clear-but-no-direct-differentiation rather than a 5.

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?

There is no when-to-use or when-not-to-use statement, no prerequisites, and no routing to alternatives. With siblings like get_tool_changelog, list_tools, and compare_tools in the same namespace, the agent gets no help deciding which to call.

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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