reserve_plans
Clarify free assessment availability and indicative, NOT live paid plans.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Clarify free assessment availability and indicative, NOT live paid plans.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description does add one genuinely useful behavioral fact – that returned plans are indicative rather than live paid figures – which warns the agent against treating output as authoritative pricing. It says nothing about how the assessment availability is determined or what form the response takes.
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 a single short sentence with no padding, which is good, but the elliptical phrasing ('indicative, NOT live paid plans') reads as a fragment and forces the agent to infer the missing nouns. Brevity is achieved at the cost of parseability.
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?
With no output schema, the description carries the burden of explaining what comes back, and it does not – an agent cannot tell whether the result is a plan list, a boolean about assessment availability, or prose. For a zero-parameter read tool the safety side is adequately covered by annotations, but the return-content gap is significant.
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?
The tool takes zero parameters, so there is no parameter semantics to explain and the schema is trivially complete. Baseline 4 applies; nothing in the description could add parameter meaning here.
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 verb 'Clarify' is soft and the object is ambiguous – it is unclear whether the tool returns plan listings, pricing indications, or a textual clarification about assessment availability. The phrase 'NOT live paid plans' hints at indicative plan data, but the description never states plainly what the tool returns and does not distinguish it from siblings like reserve_offers or reserve_quote.
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?
There is no when-to-use guidance and no reference to any alternative tool among the six siblings. The only scope statement ('NOT live paid plans') is a caveat about data freshness rather than an instruction on when to select this tool over reserve_offers or reserve_quote.
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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