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playbook_recall

Read-only

Retrieve strategies learned from past situations, scored and ranked by relevance and effectiveness credit.

Instructions

Retrieve learned, credit-scored strategies for a situation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNoMax results (default 10)
queryYesNatural-language question or topic to search memory for
scopeNoProject scope id (default 'default')default

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of strategies returned
resultsNoMatching playbook strategies (entry_id, trigger, strategy, credit, uses, wins, score)
Behavior3/5

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

Annotations already indicate readOnlyHint=true, so description adds little about safety. It mentions 'credit-scored' implying some ranking, but does not disclose pagination, performance, or any destructive potential. No contradiction with annotations.

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 concise sentence front-loads the action. No extraneous text.

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

Completeness4/5

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

Output schema exists, so return values are documented. Description is brief but covers primary purpose. Lacks detail on scoring semantics or result interpretation, but tool is simple and context signals show no nested objects.

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

Parameters3/5

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

Schema covers all parameters with descriptions (100% coverage). Description does not add further meaning beyond what schema provides, so baseline 3 is appropriate.

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?

Description clearly states it retrieves learned, credit-scored strategies based on a query. Verb 'retrieve' and resource 'strategies' are specific, but 'for a situation' is vague. Distinguishes from siblings like 'search' or 'memory_recall' by implying structured, scored output.

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 like 'memory_recall' or 'search'. Does not mention prerequisites, exclusions, or when not to use.

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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