year_planner
PRO. Full holiday list from the dataset.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
PRO. Full holiday list from the dataset.
| Name | Required | Description | Default |
|---|---|---|---|
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden, yet it discloses almost nothing: no pagination, no return shape, no date-range scope, and only a vague 'PRO' hint about access tier. The auth implication is left to the schema's access_token description.
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?
It is short and technically front-loaded, but 'PRO.' is an unexplained fragment that consumes prime real estate without conveying usable meaning. Brevity here reflects under-specification more than efficiency.
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 annotations, no output schema, and a subscription gating implied by 'PRO', the description omits the return format, completeness guarantees, and any auth prerequisites. It is too thin to let an agent call it confidently.
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?
Only one parameter and schema description coverage is 100%, so the schema fully documents access_token. The description adds no additional meaning about the token or its behavior, which is acceptable given the schema does the work (baseline 3).
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 phrase 'Full holiday list' signals the resource returned and implicitly contrasts with next_holidays, but there is no verb and 'PRO' and 'from the dataset' are cryptic. An agent can guess it returns holidays but cannot confidently distinguish it from siblings.
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?
'PRO' hints at a subscription requirement but there is no explicit when-to-use, when-not-to-use, or routing to next_holidays/business_days. The agent must infer that this is the complete-list alternative to the narrower siblings.
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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