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Glama

Recall

recall
Read-onlyIdempotent

Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoMemory key to retrieve (omit to list all keys)

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "key": "user_research_topic"
      +  },
      +  {}
      +]
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds important behavioral context about scoping ('Scoped to your identifier') and the omitted-key behavior, going beyond the annotations.

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?

Two sentences, front-loaded with the primary action, no filler. Every phrase adds value, from the dual behavior to the pairing with sibling tools.

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?

For a simple 1-param tool with robust annotations, this is complete: it covers both invocation modes, scoping, and pairing with siblings. No output schema is needed given the clarity of the return behavior.

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?

The schema covers 100% of the single 'key' parameter, so the baseline is 3. The description enriches it with illustrative examples of what values might be stored (target ticker, address, research notes), adding meaning beyond the schema's terse description.

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 opens with a specific action — 'Retrieve a value previously saved via remember, or list all saved keys' — clearly identifying the resource and the two invocation modes. It distinguishes from siblings by explicitly naming remember and forget as paired tools.

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?

The description gives an explicit use case: 'Use to look up context the agent stored earlier' with concrete examples (target ticker, address, research notes). It also states the relationship with remember/forget, implying when not to use this 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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TDQS

B3.3/5.0
Disambiguation2/5

Many tools serve overlapping purposes: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all query Pipeworx data in similar ways. Polymarket tools also heavily overlap. This leads to ambiguity for an agent trying to select the right tool.

Naming Consistency2/5

Tool names are inconsistent, mixing snake_case (ai_visibility_check), all lowercase (feed, forget), and underscore-separated verbs (ask_pipeworx_grounded, list_subscriptions). No consistent pattern is followed.

Tool Count2/5

With 32 tools, the server feels overloaded for its stated purpose of RSS-to-JSON conversion. Many tools are unrelated (e.g., prediction markets, entity profiles, memory) making the scope too broad for a focused server.

Completeness2/5

The tool set has notable gaps: only one RSS-related tool (feed), and missing basic operations like creating or updating entities. The heavy focus on Pipeworx and Polymarket leaves the core domain underserved.