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Glama

Search Taxi Rido public knowledge

search
Read-onlyIdempotent

Searches canonical Arabic and English Taxi Rido product documentation and original operating guides. Use this before fetch for questions about choosing taxi software, dispatch, taxi app architecture, fleets, access, driver or customer apps, pricing, payments, and operations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results. Defaults to 10.
queryYesNatural-language search query in Arabic or English.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which cover the safety profile. The description adds context about the scope of documentation and languages, but does not provide further behavioral details beyond what annotations convey.

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?

The description is two sentences: the first states the purpose, the second provides usage guidance and examples. It is front-loaded and contains no extraneous information, earning a top score.

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?

Given the presence of an output schema (not shown but indicated) and detailed annotations, the description is largely complete. It tells the agent what to search and when to use it. A minor gap is the lack of mention of search type (e.g., vector or keyword), but overall sufficient.

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?

The input schema has 100% coverage with detailed descriptions for both parameters (query and limit). The description adds overall context but does not enhance parameter semantics beyond what the schema provides, so baseline 3 is appropriate.

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?

The description clearly states the tool searches canonical Arabic and English product documentation and operating guides. It uses a specific verb ('searches') and resource, and lists example topics. It also distinguishes from the sibling tool 'fetch' by advising to use this before fetch.

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?

The description explicitly says 'Use this before fetch for questions about...' and lists relevant topics, providing clear context for when to use the tool. It does not explicitly mention when not to use it, but the guidance is sufficient.

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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TDQS

A4.1/5.0
Disambiguation5/5

The tools 'search' and 'fetch' have clearly distinct purposes: search for finding documents, fetch for retrieving a specific page. No overlap in functionality.

Naming Consistency5/5

Both tools use simple, lowercase verb names ('search', 'fetch'), maintaining a consistent and predictable pattern.

Tool Count3/5

With only 2 tools for a knowledge base covering diverse topics like taxi software and operations, the count feels slightly thin but is still reasonable for a focused public knowledge server.

Completeness2/5

The server lacks a browsing or listing capability, making it difficult for agents to discover available documents without knowing exactly what to search for. Major gaps in coverage.

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