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hypermnesic_search

Read-only

Perform hybrid lexical and semantic search over a git-native markdown index, returning ranked hits with scores and snippets.

Instructions

Hybrid (lexical + dense) search over the read-only index: functionally identical to search, exposed under this namespaced alias for clients that auto-prefix tool names with the server id. Fuses FTS5 lexical and sqlite-vec semantic ranking via reciprocal-rank fusion (degrading to lexical-only without embeddings) and returns the same ranked hits (path, heading, score, channels, snippet, git recency). Prefer search; reach for this alias only when your client requires the prefixed name. k caps the number of hits (default 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural-language query to recall notes by.
kNoMaximum number of ranked hits to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
degraded_lexical_onlyYes
degraded_reasonYes
manual_reindex_recommendedYes
hitsYes
Behavior5/5

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

Consistent with the readOnlyHint annotation, the description confirms read-only access and details the fusion mechanism, degradation to lexical-only without embeddings, and the returned fields. No contradictions.

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?

Four tightly written sentences, front-loaded with the core purpose and followed by usage guidance and technical detail. No wasted words.

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

Completeness5/5

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

Given the complexity of hybrid search, the description fully covers the algorithm, fallback, output structure, and parameter defaults. The presence of an output schema further reduces the burden, making this complete.

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?

Input schema already provides descriptions for both parameters (query and k). The description adds no new parameter-level information beyond what the schema states, so baseline score of 3 applies.

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 clearly identifies the tool as a hybrid search over a read-only index, specifying the lexical+dense approach and the reciprocal-rank fusion method. It distinguishes itself from the sibling `search` tool by noting functional identity but namespaced alias.

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

Usage Guidelines5/5

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

Explicitly tells the agent to prefer `search` and only use this alias when the client requires a prefixed name. This is ideal guidance on when and when not to invoke the tool.

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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