Prices in points, plans and limits (machine readable)
pricing_getPrices in points, plans and limits (machine readable)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
pricing_getPrices in points, plans and limits (machine readable)
| 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, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond it – no note on whether prices are live, cached, or versioned. With annotations carrying the burden, a neutral 3 is appropriate.
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 fragment with no waste, but 'conciseness' achieved by duplicating the title is under-specification rather than efficiency. It is front-loaded but carries zero information payload.
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 global pricing endpoint there is no output schema, so the description is the only place an agent could learn what the payload contains (point values, plan tiers, limits). It supplies none of that, leaving the agent unable to predict the return shape or decide when this tool is the right call.
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 per the calibration baseline this dimension is a 4. There is nothing for the description to document and it does not pretend otherwise.
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?
Tautological: description restates name/title.
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, no when-not-to-use, and no mention of alternatives such as usage_get, list_models, or get_account, even though pricing data plausibly overlaps with usage. The agent is given no routing signal.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.