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vshulcz

vshulcz/deja-vu

recall_context

Retrieve a detailed markdown digest of the best-matching prior session, covering the full problem and solution arc, to explore recalled sessions in depth.

Instructions

Return a markdown digest (~8KB) of the single best-matching prior session — the full problem/solution arc, not just snippets. Use after recall points at a session and more detail is needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch terms identifying the session to digest.
Behavior3/5

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

With no annotations, the description carries the transparency burden. It mentions output size (~8KB) and content (full arc), but omits details on permissions, side effects, or error handling, which is acceptable for a simple read operation.

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?

Two sentences front-load the core action and output, followed by usage guidance with no redundancy. Every sentence is essential.

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?

Given only one parameter, no output schema, and the presence of sibling 'recall,' the description covers purpose, usage, and output format adequately. Could mention potential query quality or limitations, but not required for this simplicity.

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

Parameters4/5

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

The schema covers the 'query' parameter with 100% description, and the tool description adds the nuance of 'best-matching,' which goes beyond the schema's 'identifying the session.' This enriches the semantic understanding.

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?

The description explicitly states the tool returns a markdown digest of the best-matching prior session, with the full problem/solution arc, distinguishing it from siblings that might only return snippets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises using this tool after 'recall points at a session and more detail is needed,' providing clear context for when to invoke it, though it does not explicitly exclude other scenarios.

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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