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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, so the safety profile is known. The description adds valuable behavior beyond annotations: scoping to an identifier (anonymous IP, BYO key hash, or account ID) and the list-all behavior when the key is omitted. It does not describe return format, but this is a minor gap.

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, each earning its place: the core action, the use case, and the scoping/pairing detail. Front-loaded and free of fluff.

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, no output schema, and strong annotations, the description covers both operational modes, the intended use case, scoping, and related tool integration. Nothing essential is missing.

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 description coverage is 100% for the single 'key' parameter, which already explains 'omit to list all keys'. The description adds context that the key is 'previously saved via remember', but this is marginal added value over the schema baseline of 3.

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 value saved via remember or lists all saved keys, with a specific verb and resource. It also distinguishes itself from the sibling tools 'remember' and 'forget' by explicitly pairing with them.

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 when-to-use guidance: 'Use to look up context the agent stored earlier... without re-deriving it from scratch.' It also names related tools (remember, forget) and implies the conditions for listing vs retrieving, making the usage context unambiguous.

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

A3.5/5.0
Disambiguation2/5

Multiple tools have overlapping purposes: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are nearly identical, and several Polymarket analysis tools (polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, bet_research) blur together. The three ArcGIS tools are distinct, but they are drowned out by a large set of data-query and prediction-market tools with unclear boundaries.

Naming Consistency3/5

All tool names use snake_case, but the verb/noun pattern is mixed: some are command-style (query_layer, validate_claim), some are noun phrases (layer_info, entity_profile), and others are bare verbs (remember, forget). The naming is readable but not consistently patterned.

Tool Count2/5

34 tools is too many for a server named 'Arcgis Allegheny', especially since only three tools (search_datasets, layer_info, query_layer) relate to ArcGIS at all. The bulk of the tools address unrelated domains like Pipeworx data lookups and Polymarket betting, making the count excessive for the apparent purpose.

Completeness1/5

For a server focused on ArcGIS Allegheny County data, the surface is severely incomplete: only three read-only tools (search_datasets, layer_info, query_layer) cover the domain, and they lack operations like adding, updating, or deleting features. The remaining 31 tools are unrelated to GIS, so the server fails to provide a coherent or complete toolset for its stated purpose.