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queue_implementation_meter_request

Idempotent

Update hosted queue implementation meter request using privacy-filtered project metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
meterKeyNo
projectIdYes
sessionIdYes
projectionYes
suggestionNo
descriptionNo
graphDigestYes
requestTypeYes
graphVersionYes
idempotencyKeyYes
moveRelevantGoalsNo
sourceFingerprintYes
replacementContextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, so the safety and idempotency profile is known. The description adds only the vague phrase 'using privacy-filtered project metadata,' which does not explain what side effects occur, what is updated, whether authentication is required, or what happens on repeated calls. It adds little behavioral context beyond the annotations and does not contradict them.

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

Conciseness2/5

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

The description is a single sentence and contains no fluff, but it is under-specified for a tool with 14 parameters and a nested object. It is terse to the point of being unhelpful—concision without substance. The sentence does not 'earn its place' because it conveys almost no actionable information.

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

Completeness1/5

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

Given the complexity of 14 parameters, a nested object, no output schema, and minimal annotations, the description is drastically insufficient. It provides no return value expectations, no examples, no parameter semantics, and no behavioral details. An agent would be unable to construct a correct request or understand the outcome of the call.

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

Parameters1/5

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

The input schema has 14 parameters with 0% description coverage, and the description provides no parameter explanations. There is no meaning added for required fields like sourceFingerprint, graphDigest, graphVersion, or the complex nested replacementContext object. An agent cannot infer the semantics of these parameters from the description or schema.

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

Purpose3/5

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

The description states a specific verb and resource ('Update hosted queue implementation meter request') and mentions 'using privacy-filtered project metadata,' which gives some sense of the operation. However, it is not clear how this differs from siblings like 'apply_implementation_meter_change' or 'update_queue_item,' and the requestType enum includes 'create_meter,' suggesting the tool is not purely an update. The resource name is also opaque without domain knowledge.

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 guidance on when to use this tool versus the many similar siblings such as 'apply_implementation_meter_change' or 'get_pending_implementation_meter_changes.' No preconditions, exclusions, or context are provided. The description simply states what the tool does without routing the agent to alternatives.

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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