census_pricing
Exact prices, pass caps and the one-time trial rule.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Exact prices, pass caps and the one-time trial rule.
| 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?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it says nothing about whether this is a read-only lookup, whether pricing is account-scoped, whether results are cached or rate-limited, or how 'pass caps' interact with the trial rule. It conveys topical content only, not behavior.
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?
A single short sentence with no filler, and the most decision-relevant item (exact prices) comes first. It is efficient, though it reads as a bullet fragment rather than a front-loaded statement of what the tool does, which keeps it short of a 5.
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 zero-parameter lookup with no output schema, the description does tell the agent roughly what information comes back (prices, caps, trial rule), which is arguably the minimum viable coverage. However, with no annotations and no output schema, it should at least clarify that this is a non-mutating informational read and how it relates to census_limits.
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 input schema declares zero parameters, so there is no parameter semantics for the description to explain. Per the no-params baseline, a 4 is appropriate; nothing here is missing that the description could reasonably supply.
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 names the specific data this tool surfaces — exact prices, pass caps, and the one-time trial rule — so the topical scope is discernible. But it is a noun fragment with no verb or resource declaration (e.g. 'retrieve pricing and pass-cap details'), and it never distinguishes itself from census_limits, which a reader could easily confuse with 'pass caps'. Purpose is implied rather than stated.
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 indication of when to call this tool versus census_limits, census_account, or the other siblings, and no stated conditions or prerequisites. The agent is left to infer usage entirely from the fragment, which is exactly the situation the 'no guidance' band describes.
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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