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sanhao-global-experts

pet-symptom-triage-lite

Save hours every week. This pet symptom triage lite toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It only asserts "No setup" and chatbot compatibility; it says nothing about whether the tool asks clarifying questions, what it outputs (prompt text vs. triage result), latency, or — critically for a symptom-triage tool — any safety or urgency disclaimer.

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

Conciseness2/5

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

Three sentences, none of which state the tool's function up front; the lead is a benefit claim ("Save hours every week") and the remaining sentences are sales copy. The space is not used efficiently because the payload sentence describes the wrong domain.

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

Completeness1/5

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

For a symptom-triage tool with no annotations and no output schema, the description should at minimum explain what the triage does, its limits, and whether it substitutes for veterinary advice. Instead it supplies an unrelated restaurant-growth framing, so an agent has nothing reliable to act on.

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?

There is a single optional parameter covered at 100% schema description coverage, so the schema already explains the `query` field. The description adds no meaning about how the query scopes the analysis, leaving the baseline of 3 appropriate.

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

Purpose2/5

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

The description echoes the name once ("pet symptom triage lite toolkit") but then defines it as "a battle-tested prompt and operating playbook for restaurant/brand growth," which is an entirely different domain. An agent cannot determine from this text whether the tool triages pet symptoms or produces F&B growth playbooks, and the wording is a marketing pitch rather than a verb+resource statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no exclusions, and no mention of the obvious sibling alternative pet-symptom-triage (or the many *-lite variants). "Works in any LLM chatbot" is a delivery claim, not invocation guidance.

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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