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Bullion Trading: Gold & Silver

Get store info

get_store_info
Read-onlyIdempotent

Bullion Trading LLC contact and location: address on West 47th Street (New York), phone, emails, opening hours (New York time), year founded, licensing and map link.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
notesYes
storeYes
price_timeYes
source_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and determinism profile is fully covered structurally. The description adds one genuinely useful nuance not in the structured data — that opening hours are expressed in New York time — plus the static nature of the contact data. It says nothing about freshness of the data or any auth requirement, so it is additive but thin.

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

Conciseness4/5

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

One sentence, front-loaded with the entity and scope, with no filler or repetition. It is a noun-phrase inventory rather than prose, which reads efficiently but is slightly list-like; a short leading clause such as 'Returns' would make the action explicit.

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?

An output schema exists, so the description need not explain return values — yet most of the description is exactly that inventory, partially duplicating structured data. For a zero-parameter read tool this is enough to call correctly, but it leaves the routing question (vs. get_policies, get_mint_info) unanswered.

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 there is no parameter meaning for the description to carry; the baseline for a parameterless tool applies. Nothing in the description misdescribes the call signature.

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 (Bullion Trading LLC store info) and enumerates its contents: address on West 47th Street, phone, emails, opening hours, founding year, licensing, map link. That is far more specific than a restatement of the name. It does not explicitly differentiate itself from siblings, but its scope is narrow enough that no other listed tool plausibly overlaps.

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?

There is no explicit when-to-use or when-not-to-use statement and no mention of alternatives such as get_policies for licensing/policy questions, which is a plausible confusion point given the 'licensing' item. Usage is only implied by the enumerated contents, so an agent can infer the tool answers contact/hours/location questions but gets no routing help.

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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