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AskHound

reply_policy

The honest-reply rules AskHound users agree to. Read before drafting any reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It discloses the content's nature (rules users agreed to) and a usage precondition, but says nothing about what is returned (full text vs. summary), whether it is static, or any side-effect/safety profile. Modest context, significant remaining gap.

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 short sentences, front-loaded with the resource identity followed by the actionable instruction. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with no output schema, the description should clarify what the agent receives back, and it does not. It is adequate for identification and timing but leaves the return contract undefined.

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?

Zero parameters, which earns the baseline 4. No parameter semantics are needed and none are missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific resource – the 'honest-reply rules AskHound users agree to' – which clearly distinguishes it from siblings like build_intent_queries and find_conversations. However, it never states the action the tool performs (retrieves/returns the policy text); the verb is only implied by the imperative 'Read'.

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?

'Read before drafting any reply' gives a clear precondition for invocation. It stops short of naming alternatives or when-not-to-use cases, but for a single-purpose reference tool the timing guidance is unambiguous.

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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