Skip to main content
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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. The description adds value by noting scoping to user identifier and the behavior of omitting the key (listing all). No contradiction with 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 (three sentences), front-loaded with the primary action, and each sentence adds meaningful information without waste.

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 both retrieval and listing behaviors. No output schema exists, but the description sufficiently explains functionality. Could mention return format, but acceptable given simplicity and annotations.

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 coverage is 100% and the schema property description already conveys the key's use. The description's mention of omitting the key to list all keys is redundant, so it adds little 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 'retrieve a value' or 'list all saved keys', specifying the verb and resource. It distinguishes from siblings 'remember' and 'forget' by defining the complementary role.

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 explicitly says 'use to look up context... without re-deriving it from scratch' and mentions pairing with remember/forget. It implies when to use but does not provide explicit when-not-to-use guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (e.g., NPS park tools vs. Pipeworx queries vs. Polymarket analysis). Some overlap exists between ask_pipeworx and ask_pipeworx_grounded, and among the many Polymarket tools, but descriptions help differentiate them.

Naming Consistency3/5

Naming conventions vary: some use verb_noun (list_parks), others use descriptive phrases (ask_pipeworx_grounded, scan_competitor_ai_presence). While all use snake_case, there is no consistent pattern in prefixes or verb choice.

Tool Count2/5

35 tools is too many for a coherent server. The set appears to bundle multiple unrelated domains (NPS, Pipeworx, Polymarket, memory, subscriptions) into a single server, lacking focused scope.

Completeness3/5

Each domain has notable gaps (e.g., NPS lacks real-time conditions; Pipeworx lacks data ingestion tools; Polymarket lacks order placement). Some sub-areas (memory, subscriptions) are complete, but overall the surface is incomplete for the broad range of domains.