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GonzaloTorreras

ai-dememory

Check Recall Miss Candidate

memory.recall_miss_candidate
Read-only

Evaluates if a query and expected memory would be a recall miss, without saving any data. Use to test candidate memories before adding them.

Instructions

Check whether a query and expected memory are a recall miss candidate without writing files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
min_rankNo
expected_idNo
expected_pathNo
include_sensitiveNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
reasonYes
min_rankYes
expected_idYes
top_resultsYes
writes_filesYes
expected_pathNo
expected_rankYes
candidate_missYes
searched_limitYes
capture_write_commandYes
capture_dry_run_commandYes
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. Description reinforces 'without writing files' but adds no further behavioral context (e.g., what happens on match/mismatch, error conditions).

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?

Single sentence, no wasted words. Information is front-loaded and immediately actionable.

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?

Despite having an output schema, the tool has 6 undocumented parameters and no usage guidance. For a check tool, key details about criteria for being a 'recall miss candidate' are missing, making it incomplete for effective use.

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?

Schema description coverage is 0%, and the description provides no explanation of any parameter (e.g., what 'limit', 'min_rank', 'expected_id', etc. mean). The description does not compensate for the lack of schema documentation.

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

Purpose5/5

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

Description clearly states the action ('Check whether'), the resource ('query and expected memory'), and the constraint ('without writing files'). It distinguishes from sibling tools like memory.recall_miss_review by specifying a non-destructive check mode.

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?

No guidance on when to use this tool versus alternatives. Does not mention any prerequisites, typical use cases, or when to prefer sibling tools.

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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