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get_pending_implementation_meter_changes

Read-onlyIdempotent

Read hosted get pending implementation meter changes using privacy-filtered project metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
projectIdYes
sessionIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the 'privacy-filtered project metadata' detail, which hints at behavioral filtering but is too vague to meaningfully explain what data is exposed or withheld. It does not contradict the annotations, but it also does not disclose pagination, ordering, or what happens with large result sets.

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

Conciseness3/5

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

The description is short and front-loaded with the verb, but the sentence is awkward and grammatically tangled ('Read hosted get pending implementation meter changes'). It earns some credit for brevity, but the unclear phrasing reduces its efficiency because an agent must re-read it to guess the intended meaning.

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

Completeness2/5

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

For a paginated read tool with no output schema and no parameter explanation, this description is incomplete. It does not define what 'pending implementation meter changes' are, how the privacy filtering works, or how cursor/limit should be used. The annotations cover read-only safety, but an agent still lacks enough context to invoke the tool confidently in a real workflow.

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 the description needed to explain the parameters but does not. It never mentions projectId, sessionId, limit, or cursor. The phrase 'using privacy-filtered project metadata' only loosely gestures at projectId and does nothing to clarify the pagination contract or the role of sessionId. The schema's property names and constraints carry nearly all the meaning here.

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 verb ('Read') and a resource ('pending implementation meter changes'), so an agent can infer the basic operation. However, the phrasing 'hosted get pending implementation meter changes' largely restates the tool name and does not clarify what 'hosted' means or what makes these changes 'pending.' It does not explicitly distinguish this from sibling tools like apply_implementation_meter_change or queue_implementation_meter_request, though the read vs. write contrast is implied by the name.

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 about when to use this tool versus alternatives. Sibling tools such as apply_implementation_meter_change and queue_implementation_meter_request exist, but the description never mentions them or explains that this tool is the read-only way to inspect pending changes. The usage context is only weakly implied by the word 'Read.'

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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