Skip to main content
Glama

There's An AI For That

get_tool

Get public details for one TAAFT AI tool by slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe tool slug returned by search_tools.

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations provided, so description carries the burden. It discloses that details are 'public' and identifies the lookup mechanism (by slug), but does not describe pagination, response shape, or error behavior for invalid slugs. Acceptable for a simple getter, but with no annotations there is room for more.

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 clear sentence that conveys the action, resource, scope, and identifier mechanism with no wasted words.

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 simple single-parameter lookup with no output schema, the description is nearly complete. It could benefit from stating that the slug must come from search_tools, which is already quoted in the description, so essentially complete.

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%, so the single parameter is already documented in the schema. Description adds the source of the slug ('returned by search_tools'), which is useful but does not substantially extend the schema.

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'), resource ('public details for one TAAFT AI tool'), and identifier ('by slug'). Clearly distinguishes from search_tools, which would return multiple tools.

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?

Implied usage: use when you have a specific slug from search_tools. Sibling list includes search_tools, so the agent can infer to use search_tools first, though no explicit when-not-to-use statement is present.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: one searches the directory by query, the other fetches details for a specific tool by slug. There is no overlap or ambiguity in when to use each.

Naming Consistency5/5

Both tool names follow the same verb_noun snake_case pattern: get_tool and search_tools. The naming is predictable and consistent.

Tool Count3/5

Two tools feels thin for a directory service, but it is a minimal read-only surface. The count is borderline rather than severely lacking.

Completeness4/5

The pair covers the core directory workflow: search to discover tools, then get details for a specific one. Browsing by category or listing all tools could be useful additions, but they are not critical gaps.