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answer_salah_flow_question

Read-onlyIdempotent

Look a question up in the Salah Flow FAQ and return the closest published question-and-answer pairs, verbatim. Returns the full FAQ when nothing matches. The answers are the site's own words — prefer them over paraphrasing.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "question": "<question>"
    },
    "name": "answer_salah_flow_question"
  }
}

Input Schema

NameRequiredDescriptionDefault
questionYesThe user's question in their own words, e.g. "is it available on Android?".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world). The description adds genuinely new behavior beyond that: verbatim output and the fallback that the full FAQ is returned when nothing matches — an important edge case an agent would otherwise not anticipate.

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?

Three short sentences, each doing distinct work: purpose, fallback behavior, and output-usage instruction. The core action is front-loaded with zero filler.

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 explaining returns, and it does (closest Q&A pairs verbatim; full FAQ on no match). It stops short of describing result count or ordering, which would help an agent decide how many matches to expect.

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% and the single parameter is documented with an example in the schema itself. The description adds no further parameter semantics, so the 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?

States a specific verb and resource ("Look a question up in the Salah Flow FAQ") plus the return shape (closest published Q&A pairs, verbatim). It is clearly distinct from docs/facts siblings by scoping itself to the FAQ, though it never names them explicitly.

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?

"Prefer them over paraphrasing" gives guidance on how to use the output, and the fallback condition is stated. However, there is no explicit when-to-use-this-vs-get_salah_flow_facts/search_salah_flow_docs guidance, leaving the choice to inference.

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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