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suggest_similar_notes

Find notes with content similar to your query. Retrieve related insights and connect ideas stored in your personal knowledge base.

Instructions

Suggest notes with similar content (textual similarity).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only mentions 'textual similarity' and does not clarify whether the operation is read-only, whether the query is matched exactly or approximately, whether results are ranked, or what the response contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no filler or unnecessary repetition. It is not poorly structured, but it is so brief that it sacrifices useful guidance.

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?

With no annotations, low parameter clarity, and no usage guidance, the description is incomplete for an agent deciding between this tool and nearby siblings. The output schema may cover return values, but the core invocation semantics are underspecified.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it does not clearly define what the 'query' parameter should contain or how it is used. The phrase 'similar content' implies the query relates to note content, but the mapping is indirect.

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 clearly states the tool's action ('suggest') and resource ('notes with similar content'), and adds the specificity of textual similarity. However, it does not explicitly distinguish the tool from sibling tools like search_notes, so it falls short of a 5.

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 no guidance on when to use this tool versus search_notes, get_notes, or other sibling tools. Any usage context must be inferred entirely from the phrase 'similar content,' which is too minimal for effective tool selection.

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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