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recall

Search memory notes and retrieve full text of top matches, with reranking and project-scoped filtering to locate relevant information across your vault.

Instructions

Search then hydrate the top-k notes' full text. Reranks by default (set CAIRN_RERANK=0 to disable, or pass rerank=false). Recall prefers your current project's memories (boosted, non-lossy): pass project (a repo name) to target another project, else the server's working directory is used. scope="project" hard-limits results to that project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes
scopeNoall
rerankNo
projectNo
Behavior4/5

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

With no annotations, the description carries the behavioral burden and discloses meaningful runtime behavior: reranking is enabled by default with disable paths, current-project memories are boosted and non-lossy, and `scope="project"` hard-limits results. It does not describe output shape or error behavior, but the disclosed details go beyond a generic retrieve statement.

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?

The description is compact and front-loaded with a one-sentence purpose statement followed by only high-value behavioral details. Nothing is wasted; every sentence earns its place.

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?

For a retrieval tool with no output schema and no annotations, the description gives enough context to select, invoke, and scope the tool correctly: full text returned, k, rerank default, project fallback, and strict project scoping. Minor gaps remain in the available `scope` values and relationship to `search`.

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?

Schema description coverage is 0%, so the description must explain parameters; it explains `project`, `scope`, and `rerank` meaningfully, and `query`/`k` are covered by the 'search' and 'top-k' phrasing. It does not enumerate possible `scope` values beyond the `"project"` example, but the added semantic value is substantial.

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 opens with a specific verb-plus-resource statement: it searches then hydrates the top-k notes' full text. This clearly indicates a retrieval/recall operation on memory notes, though it does not explicitly contrast itself with the sibling `search` tool.

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?

The description provides detailed scoping guidance for `project` and `scope`, but no explicit when-to-use or when-not-to-use guidance relative to siblings like `search`, `recent`, or `build_context`. The usage context must be inferred from the niche described.

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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