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Alshhbaa Copperware

Read Alshhbaa Store Developer Docs

read_docs
Read-only

Read Alshhbaa Store API, auth, pricing, OpenAPI, llms.txt, agent skills, and MCP developer documentation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesDocumentation path to read (e.g. "/openapi.json", "/auth.md", "/developers").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
structuredContentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe, non-mutating read. The description adds the useful scope information that these are static developer docs across several formats, but says nothing about response size, truncation, caching, or whether paths are case-sensitive. With annotations covering the safety profile, this is adequate but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and resource, with zero filler. The comma-separated topic list is slightly dense but each item corresponds to real enum values rather than padding.

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 an output schema, annotations, and 100% schema coverage, the definition is complete enough to invoke correctly. Return values need not be explained given the output schema, and the only real gap is guidance on choosing among the enumerated paths.

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 description coverage is 100% and the single parameter is a fully enumerated path list with an example, so the schema carries the semantic load. The description's topic list loosely maps to those enum values but adds no new meaning (no format distinctions, no guidance on /llms.txt vs /llms-full.txt). Baseline 3 applies.

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 gives a specific verb (Read) plus the resource (Alshhbaa Store developer documentation) and enumerates the content areas covered — API, auth, pricing, OpenAPI, llms.txt, agent skills, MCP. An agent can tell this is a documentation fetch tool. It makes no reference to the sibling search_products, though that sibling is in a different domain, so differentiation matters less.

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 guidance on when to use this tool versus alternatives, nor any hint about which path is appropriate for a given intent. The description merely lists topic names that are already enumerated in the schema, leaving the agent to infer usage entirely.

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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