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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)

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable context: scoping to identifier and the nature of data (previously saved values). 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, front-loaded with the primary action, and each sentence adds value without repetition. It efficiently explains usage, scoping, and pairing with siblings.

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?

The tool is simple with one optional parameter and no output schema. The description fully covers input behavior, output (value or list), scoping, and relationships with remember/forget. No gaps remain.

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%, but the description clarifies the parameter's behavior: 'omit the key argument to list all saved keys'. This adds meaning beyond the schema's 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 retrieves a previously saved value or lists all keys, distinguishing it from remember and forget. The verb 'retrieve' and resource 'saved memory values' are specific and differentiate it from siblings.

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 provides explicit when-to-use guidance: 'look up context the agent stored earlier... without re-deriving it from scratch.' It also mentions scoping and pairing with remember/forget, but lacks explicit when-not-to-use or alternatives.

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

A4.1/5.0
Disambiguation3/5

Most tools have distinct purposes, but there is notable overlap among ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research—all of which route questions to the same underlying catalog. The polymarket_* family also has several opportunity-scanning tools (edges, arbitrage, bet_research) that agents could confuse without reading the long descriptions carefully.

Naming Consistency5/5

All 34 tool names use lowercase snake_case with a clear verb-first or noun-descriptive pattern (list_feeds, read_feed, remember, resolve_entity, polymarket_arbitrage). Even compound names like ai_visibility_check and ask_pipeworx_grounded follow a predictable, consistent style. No mixed conventions or camelCase deviations.

Tool Count2/5

34 tools is far more than the apparent 'Gaming Feeds' scope suggests—only list_feeds, read_feed, and fetch_feed actually relate to gaming feeds. The rest form a sprawling data-research and prediction-market suite, creating a severe mismatch between the server name and its actual tool surface.

Completeness4/5

Viewed as a general Pipeworx data-access platform, the tool set is quite complete: question routing, grounded answers, entity resolution, profiles, comparisons, claim validation, memory, subscriptions, alerts, feed reading, and tool discovery are all covered. The only notable gaps are feed management (no create/update/delete for custom feeds) and a few odd add-ons like generate_llms_txt that feel outside the core domain.