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seminar_locations
Read-onlyIdempotent

Lists the places seminars are held at.

The catalogue runs in a fixed set of cities, plus a virtual classroom for online delivery. Use this to answer "where do you teach this?" and to check a place before passing it to seminar_dates -- a city that is not in this list has no dates, however the customer spells it.

Input Schema

NameRequiredDescriptionDefault
queryNoPart of a place name, e.g. "Frank"

Output Schema

NameRequiredDescriptionDefault
noteNo
pageYes
itemsYes
totalNo
has_moreYes
returnedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds valuable behaviour beyond that: the catalogue is closed (a fixed set plus one virtual entry), and the absence of a city is a definitive negative signal. It doesn't cover return shape or how the optional query filter matches, leaving modest gaps.

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?

The core action is front-loaded in the first sentence, followed by two sentences that each add distinct value: catalogue scope, then the routing rule to seminar_dates. No restatement of the tool name or title and no filler.

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

Completeness5/5

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

An output schema exists, so return values need not be described. For a zero-required-parameter, single-parameter lookup, the description supplies everything an agent needs: what the list contains, what it implies when a value is missing, and how it relates to the sibling tool.

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 already carries an example ('Frank') and default of null, so the schema does the heavy lifting. The description implies canonical naming ('however the customer spells it') but adds no matching semantics such as substring vs. exact or case sensitivity, so the baseline 3 holds.

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

Purpose5/5

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

States a specific verb and resource ('Lists the places seminars are held at') and then bounds the scope precisely: a fixed set of cities plus a virtual classroom. An agent can distinguish this from seminar_dates or seminars_search without opening either schema, since the catalogue/registry nature is explicit.

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

Usage Guidelines5/5

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

Names concrete usage scenarios ('where do you teach this?') and an explicit downstream dependency: check a place before passing it to seminar_dates. It also gives the negative inference rule — a city absent from the list has no dates regardless of spelling — which tells the agent exactly when this call is authoritative versus when to defer.

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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