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Glama

soma_recall

Retrieve relevant facts from memory using full-text semantic search, ranked by importance and freshness to support accurate agent recall.

Instructions

Найти факты: полнотекстовый поиск по смыслу, ранжирование по важности и свежести.

Input Schema

NameRequiredDescriptionDefault
kNo
queryYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.2

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that results are ranked by importance and freshness and that search is semantic/full-text, but it does not state that the operation is read-only, how many results are returned by default (k), or any limits.

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?

A single front-loaded sentence with no filler. The purpose and ranking behavior are stated immediately, and every phrase earns its place.

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

Completeness3/5

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

An output schema exists, so return values need not be described, and the tool is simple with only two parameters. However, the absence of annotations means the description should cover read-only semantics and parameter meaning, which it does not.

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% and neither parameter is explained in the description. "Поиск" loosely implies a query string, but the k parameter (result count, default 10) is completely undocumented, so the description fails to compensate for the empty schema.

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?

States a specific verb and resource ("Найти факты") plus the retrieval method ("полнотекстовый поиск по смыслу"), so an agent knows this is a semantic fact-search tool. It does not differentiate itself from siblings like soma_cold_get or soma_inbox, which keeps it from 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?

There is no guidance on when to use this tool versus alternatives such as soma_cold_get or soma_inbox, and no prerequisites or exclusions are given. The agent must infer the usage context from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.