Show cancellation policy
get_cancellation_policyCancellation tiers, counted from the start of the event. / Storno-Staffel ab Eventbeginn.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| event_slug | Yes |
get_cancellation_policyCancellation tiers, counted from the start of the event. / Storno-Staffel ab Eventbeginn.
| Name | Required | Description | Default |
|---|---|---|---|
| event_slug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description contributes the one thing annotations cannot: that the tier deadlines are measured from event start rather than booking date, which affects how returned data must be interpreted. It says nothing about the shape of the returned policy (percentages, deadlines, currency) — acceptable since no output schema exists but a gap nonetheless.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely short, but not front-loaded with a purpose statement — it opens with a bare noun phrase. Roughly half the text is a German mirror translation that adds no information for an agent and duplicates the English clause.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and 0% parameter coverage, the description is too thin: it neither describes the returned tier structure nor explains the required event_slug. The reference-point detail is useful but leaves most of what an agent needs unaddressed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for the single required parameter event_slug, so the description carries the full burden and provides nothing — no format, no examples, no distinction from an event ID. Only the parameter's self-explanatory name prevents a score of 1.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun fragment ('Cancellation tiers') that largely restates the name and title, with no verb stating what the tool does. It does add one real semantic detail — that tiers are counted from the start of the event — which clarifies what the returned data represents. It never distinguishes this tool from siblings like get_price_estimate or get_availability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to call this tool, no prerequisites (an event slug is required, but that's schema), and no mention of alternatives despite five sibling tools. An agent gets no help deciding between fetching a policy and fetching availability or a price estimate.
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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