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About Deer Supply

get_store_info
Read-onlyIdempotent

Who Deer Supply is and how buying works: what it sells, where it ships, payment methods accepted right now, shipping costs, the money-back policy, lab testing, and how to reach a person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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, so the safety profile is covered. The description adds useful scope detail — notably that payment methods reflect what is accepted 'right now' — but says nothing about freshness, caching, or the static nature of the content.

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?

A single front-loaded sentence that names the subject and then lists the covered topics. Every clause maps to a distinct piece of content an agent might ask for, with no 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?

For a zero-parameter, read-only info tool with no output schema, the content enumeration is sufficient for an agent to decide whether to call it. The only gap is the lack of explicit routing against overlapping siblings such as get_help.

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?

The tool takes zero parameters, so per the baseline there is nothing for the description to disambiguate. No parameter guidance is needed or missing.

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 names a specific resource (Deer Supply store information) and enumerates exactly what it returns: products, shipping destinations, payment methods, shipping costs, refund policy, lab testing, and contact route. That enumeration effectively separates it from siblings like get_product or get_trust_report, though no sibling is named 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?

Usage is only implied — an agent can infer this is for general 'about the store / how buying works' questions. There is no explicit statement of when to prefer this over get_help, get_trust_report, or delivery_estimate, and no exclusions, which leaves routing ambiguity for overlapping topics like contact and policy.

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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