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Read a semantic search collection

read_semantic_search
Read-onlyIdempotent

Read the model, the number of notes, the notes added over the lifetime, the note limit and the expiry of a collection with the read token. Notes are found by searching. No API key, no account and no sign up: call it directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
read_tokenYesThe read_token from create_semantic_search, shown once. It reads and searches the collection.
collection_idYesThe collection_id from create_semantic_search.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety profile is covered; the description adds genuinely new context by stating no API key or account is required and that the call can be made directly. It stops short of describing failure behavior for invalid/expired tokens, which is a minor gap given the readOnly annotations.

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?

Three short sentences with the returned fields front-loaded and no filler. The fragment 'Notes are found by searching' is slightly oblique, but overall the text is efficient and appropriately sized.

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?

With no output schema, the description correctly enumerates the returned fields (model, note counts, limit, expiry), which is the load-bearing information, and annotations cover the safety profile. Only edge cases such as invalid/expired token behavior are unaddressed, which is a minor omission for a two-parameter read tool.

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 description coverage is 100% and both parameters (read_token, collection_id) are fully documented in the schema with patterns and provenance (from create_semantic_search). The description restates the read-token concept but adds no format or usage detail beyond the schema, so the baseline 3 applies.

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 names a concrete verb (read) and resource (a semantic search collection) and enumerates exactly which metadata fields are returned (model, note count, lifetime notes, note limit, expiry), so the agent knows it is a metadata/stats read rather than a note search. It does not, however, name query_semantic_search as the sibling for actually searching notes, so sibling differentiation is only implied by 'Notes are found by searching.'

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

Usage Guidelines3/5

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

It gives an access note ('No API key, no account and no sign up: call it directly') that qualifies when this is usable, and hints that searching is a separate action, but it never names an alternative tool or states explicit when-not conditions. Usage is implied rather than specified.

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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