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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. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that the tool is scoped to an identifier and that omitting the key lists all keys, providing behavioral context beyond 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?

The description is concise at two sentences, with no redundant information. It front-loads the purpose and uses efficient phrasing.

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?

The description covers retrieval and listing behavior, and explains the scope. Without an output schema, it provides enough context for the agent to understand what the tool returns. Minor gaps like error handling are not critical for a simple read tool.

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?

Schema coverage is 100% with one optional parameter. The description adds meaning by stating 'omit to list all keys' and includes examples, clarifying the parameter's behavior beyond the schema.

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 states the tool retrieves a value saved via remember or lists all keys when omitted. It distinguishes from sibling tools remember and forget, and provides concrete examples of use cases.

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

Usage Guidelines4/5

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

The description explains when to use the tool (look up stored context) and mentions pairing with remember/forget. It does not explicitly state when not to use it or list alternatives, but provides sufficient context for typical usage.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but the three ask_pipeworx variants (stable, beta, grounded) overlap significantly in functionality, as do the Polymarket tools (bet_research, arbitrage, edges, etc.), which could cause an agent to misselect without careful reading of descriptions.

Naming Consistency3/5

Naming follows multiple styles: verb_noun (ask_pipeworx, compare_entities), domain first (polymarket_arbitrage, bart_departures), and single words (remember, forget). There is no consistent pattern, making the set feel disjointed.

Tool Count3/5

35 tools is on the heavy side for a single server. While each tool has a defined role, the count suggests potential for consolidation (e.g., merging ask_pipeworx variants or Polymarket tools). The server's broad scope partially justifies the count.

Completeness4/5

The tool surface covers a wide range of functionalities: structured querying, entity lookup, comparison, fact-checking, subscription management, memory, and domain-specific tools for BART and Polymarket. Minor gaps exist (e.g., no direct API for some data sources), but overall it feels comprehensive.