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Get Meter Rate Card

get_meter_rate_card
Read-onlyIdempotent

Pull and pretty-print one meter type's rate card from Report 514.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meter_type_idYes
sample_consumptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds that output is pretty-printed and sourced from Report 514, which is useful framing, but it says nothing about auth, rate limits, or what happens if the meter_type_id is unknown.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the action first and the source last; no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be described, and annotations cover the safety profile. The remaining gap is the undocumented sample_consumption parameter, which the description should have clarified given zero schema coverage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so neither parameter is documented anywhere. The description does not explain meter_type_id or, more importantly, sample_consumption, which defaults to 1,000,000 and whose purpose and unit are entirely opaque to a caller.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (pull and pretty-print) and resource (one meter type's rate card), and the singular scope implicitly distinguishes it from the dump_all_rate_cards sibling. It stops short of naming that alternative, so the differentiation is inferable rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, when-not-to-use, or named alternative. The phrase 'one meter type's' hints that dump_all_rate_cards handles the bulk case, but the description never states the selection condition, leaving the agent to infer it.

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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