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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

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description does not contradict them. It adds additional behavioral context about scoping to an identifier and the ability to list all keys when the argument is omitted, which is beyond what annotations convey.

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?

Four sentences, each adding distinct value: core action, usage scenario, scoping detail, and relation to siblings. No fluff or redundancy. The description is front-loaded with the primary action.

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?

Given the tool's simplicity (one optional parameter, no output schema), the description covers purpose, usage, scoping, and related tools adequately. It does not describe the return format or error behavior, but for a straightforward lookup tool with strong annotations, this is sufficient.

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?

The schema already fully describes the key parameter (100% coverage), so the description's mention of omitting the key to list all keys adds no new structural information. It does provide examples of values (ticker, address, research notes), which adds some semantic context but not enough to exceed the baseline.

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: '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 values/keys), and distinguishes itself 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?

It explicitly explains when to use the tool: 'Use to look up context the agent stored earlier... without re-deriving it from scratch.' It also references the complementary tools (remember/forget), providing contextual guidance on how this tool fits into a workflow.

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 distinct purposes with clear descriptions, but some overlap exists (e.g., ask_pipeworx, ask_pipeworx_grounded, deep_research all retrieve structured data with subtle differences). Competitor analytics (ai_visibility_check, scan_competitor_ai_presence) also share similar goals.

Naming Consistency3/5

Names follow loose patterns within subgroups (get_crypto_*, polymarket_*, ask_pipeworx*), but overall there is no single consistent convention. Verbs and noun orders vary (e.g., get_crypto_price vs. validate_claim vs. remember).

Tool Count3/5

35 tools is high; many exceed the core 'crypto' domain (company profiles, npm dependencies, memory management, subscriptions). While each tool seems justified, the count feels heavy for a single server, risking cognitive load.

Completeness4/5

The tool set covers crypto basics (price, market, history), company data, prediction markets, and general data retrieval comprehensively. Minor gaps exist (e.g., no direct on-chain crypto data), but cross-domain coverage is strong.