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DartzDabz AI agent tool directory

Look up one tool

get_tool
Read-onlyIdempotent

Get one tool from the DartzDabz directory by its DartzDabz page path or slug (e.g. "mcp/github-official"), its endpoint URL, or its exact name. Returns the endpoint URL, type, trust score, trust and readiness sub-scores, last check time (UTC) and the page URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesSlug or path like "mcp/github-official", an endpoint URL, or an exact tool name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuine behavioral context by enumerating exactly what comes back (endpoint URL, type, trust score, trust/readiness sub-scores, UTC last-check time, page URL), which matters because 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 sentences, no filler. The lookup key is front-loaded and the return-field list follows, which is the right order for a fetch tool.

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 annotation coverage, the description supplies the one missing piece an agent needs: the shape of the response, since no output schema exists. It stops short of noting behavior for missing or ambiguous identifiers, which is a minor gap.

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?

With 100% schema description coverage, the single id parameter is already fully documented in the schema, including the same 'mcp/github-official' example. The description largely restates the accepted identifier forms rather than adding new constraints such as ambiguity handling when a name matches multiple entries.

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 from the DartzDabz directory) and specifies that lookup is by a unique identifier, which clearly separates it from the plural, query-based search_tools sibling. An agent can tell immediately this is the point-fetch counterpart to search.

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?

Usage is implied by the identifier-based framing (use when you already know the slug, URL, or exact name), but the description never states when to prefer this over search_tools or what to do if the identifier is unknown. No exclusions or prerequisites are given.

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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