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VaneTools AI Directory

Get tool details

get_tool

Get full structured details for one tool by slug: description sections, features, categories, website, pricing model and last-verified date. Use search_tools first to find the slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesTool slug, e.g. 'chatgpt'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It usefully discloses the shape of the returned payload (the field list), which substitutes for the absent output schema, but omits error behavior for an invalid/unknown slug, whether it is strictly read-only, pagination, and any rate limits.

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 sentences, zero waste: the payload scope is front-loaded and the prerequisite follows. Nothing is repeated from the schema beyond the minimal 'by slug' anchor.

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 one-parameter read tool with no output schema, the description compensates by enumerating the returned fields and the slug-discovery precondition. Only the unknown-slug failure mode and read-only confirmation are missing, which are minor gaps at this complexity.

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 schema already defines the single slug parameter with an example ('chatgpt'). The description adds only 'by slug', so the baseline 3 applies — the schema does the heavy lifting.

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 ('Get') and resource ('one tool by slug') and enumerates exactly what is retrieved (description sections, features, categories, website, pricing model, last-verified date). This clearly distinguishes it from the sibling search_* tools, which return lists rather than full records.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent: 'Use search_tools first to find the slug,' naming the alternative and the prerequisite step. It stops short of stating when not to use it (e.g., for bulk retrieval or slug-free lookup), so it is clear context without full exclusions.

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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