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DartzDabz AI agent tool directory

Directory counts

get_directory_counts
Read-onlyIdempotent

How many tools DartzDabz tracks (total, by source, scored, robots opted out, pending) and the date of those counts, plus the category list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered without description help. The description usefully adds that the counts carry a date and that a category list is included, hinting at a snapshot rather than live data, but it says nothing about freshness, caching, or staleness limits. Adequate, not rich, given annotations carry the safety burden.

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 front-loads the core question ('How many tools DartzDabz tracks') and then lists the breakdowns in a compact parenthetical, with the date and category list appended. No filler or redundant restatement of the title.

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?

With no output schema, the description carries the burden of describing return values, and it does enumerate the counts, their date, and the category list. It omits the shape/keys of the response and whether the date is per-count or global, but for a simple parameterless stats endpoint this is largely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The description correctly implies the call takes no arguments by describing only returned content.

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?

The description names a specific resource (DartzDabz directory counts) and enumerates exactly what is counted (total, by source, scored, robots opted out, pending), which distinguishes it from get_tool, get_x402_scores and search_tools. It is a clear retrieval purpose, though it never says the word 'retrieve' or 'get' explicitly.

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 statement of when to call this tool versus its siblings — no 'use this to get an overview before searching' style guidance. The agent must infer that this is a directory-statistics endpoint from the name and returned-field list alone.

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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