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)

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate readOnly, idempotent, and non-destructive behavior. The description adds valuable context about scoping ('Scoped to your identifier') and the two modes (retrieve one or list all), 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?

The description is three sentences, front-loaded with the primary action, and every sentence serves a purpose: behavior, usage context, and scoping/alternatives. No waste.

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 single-optional-parameter read-only tool with full schema coverage and no output schema, the description adequately covers behavior, usage, scoping, and return modes. It is complete without being verbose.

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 covers the sole parameter fully ('Memory key to retrieve (omit to list all keys)'). The description reinforces this but does not add significant new parameter-level detail beyond examples of key content, so baseline 3 is appropriate.

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 dual purpose: 'Retrieve a value previously saved via remember, or list all saved keys (omit the key argument).' It uses specific verbs ('retrieve', 'list') and identifies the resource (saved memory), distinguishing it from sibling tools like remember and forget.

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' with examples (target ticker, address, research notes) and pairs with 'remember to save, forget to delete.' This clearly communicates when to use recall versus alternatives.

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

A3.5/5.0
Disambiguation2/5

Many tools overlap in purpose: ask_pipeworx and ask_pipeworx_beta are identical, while ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions all serve as query/entry-point tools. The two tax-specific tools are distinct, but the sheer number of generic data-access tools makes it difficult for an agent to select the right one.

Naming Consistency2/5

Naming is a mix of snake_case (ask_pipeworx, tax_search), camelCase (ask_pipeworx_beta, compare_entities, discover_tools), and inconsistent verb styles (resolve_entity vs entity_profile vs scan_competitor_ai_presence). No clear pattern is discernible.

Tool Count1/5

The server is named 'Tax Regulations' but only 2 of 33 tools are tax-related. The other 31 tools are unrelated Pipeworx data-access, memory, subscription, and Polymarket tools, making the count wildly excessive and mismatched with the apparent purpose.

Completeness3/5

For the tax regulation domain, tax_search and tax_regulation cover keyword discovery and full-text retrieval, which is a functional core. However, the set lacks any other tax-specific operations (e.g., updates, comparisons, planning), and the majority of the tool surface is irrelevant to the stated server purpose, leaving notable gaps for an agent expecting a coherent tax toolset.