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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, destructiveHint, and idempotentHint, but the description adds valuable context about scoping (anonymous IP, BYO key hash, account ID) and the listing behavior. This goes beyond structured data without contradicting it. The description could mention return format details, but the existing annotations lower the burden.

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?

Three sentences, front-loaded with the core action, and every sentence earns its place. It efficiently covers purpose, usage context, and related tools without redundancy or filler.

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 tool with one optional parameter and no output schema, the description fully covers what it does, when to use it, how scoping works, and how it relates to sibling tools. No gaps remain for the agent to invoke it correctly.

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 covers 100% of the single parameter (key), so baseline is 3. The description adds practical examples of what keys might contain (target ticker, address, research notes) and explicitly clarifies the omit-to-list behavior, enriching beyond the schema's simple string 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 clearly states the tool's function with specific verbs: 'Retrieve a value previously saved via remember, or list all saved keys'. It distinguishes itself from siblings by referencing remember (save) and forget (delete), making its role as the retrieval component evident.

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?

Provides explicit usage context: 'Use to look up context the agent stored earlier... without re-deriving it from scratch.' It also names companions (remember, forget) and clarifies the optional key argument behavior, offering clear when-to-use guidance versus re-deriving information.

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

The tool set contains multiple near-duplicate lookups: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded all do the same routing with minor variations, while deep_research and validate_claim also overlap in information retrieval. The two Pixabay search tools are distinct, but the abundance of overlapping data-lookup tools creates real ambiguity.

Naming Consistency2/5

All names use snake_case, but the pattern is inconsistent: some are verb_noun (search_images, validate_claim), others are noun-based (entity_profile, pipeworx_feedback), and variants like ask_pipeworx_beta/grounded introduce ad-hoc suffixing. The naming does not follow a single predictable convention.

Tool Count1/5

With 33 tools, the count is far excessive for a Pixabay server. Only 2 tools (search_images, search_videos) actually relate to Pixabay; the remaining 31 are unrelated Pipeworx data, Polymarket, memory, and subscription tools. The scope is a severe mismatch.

Completeness1/5

For a server named Pixabay, the surface is severely incomplete: only basic image/video search is provided, with no tool for fetching details, downloading, managing collections, or any other lifecycle operation. Meanwhile, the Pipeworx domain is over-covered, but that is irrelevant to the server's stated purpose.