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memory_candidate_reject

Reject a proposed memory candidate while leaving canonical Markdown untouched, so agents can dismiss suggestions without altering stored context.

Instructions

Reject a candidate without changing canonical Markdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
candidate_idYes
review_reasonNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that canonical Markdown is unchanged, but omits whether rejection is permanent, whether the candidate is deleted or status-changed, permission requirements, and what review_reason does.

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

Conciseness4/5

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

The description is a single front-loaded sentence with no wasted words. It is efficient, though its extreme brevity contributes to gaps elsewhere.

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?

With no annotations, no output schema, two parameters at 0% schema coverage, and sibling approve/expire tools, the description is not complete enough. It lacks parameter meaning, side-effect details, and selection guidance.

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 must compensate but does not: it never explains candidate_id or review_reason. 'Candidate' implies candidate_id is the target, but review_reason is entirely undocumented.

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?

The description uses a specific verb ('Reject') and resource ('candidate'), and adds the key scope boundary that canonical Markdown is not changed. It is distinguishable from approve/expire by name, though it does not explicitly name alternatives.

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 guidance on when to reject versus approve or expire a candidate. Usage is only implied by the tool name and the 'without changing canonical Markdown' clause.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.