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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 and destructiveHint=false. Description adds scoping details and dual-mode behavior (retrieve/list), complementing annotations without contradiction.

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 primary action, no wasted words. Every sentence adds value.

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?

All necessary information for a simple tool: dual mode, scoping, pairing with siblings. No gaps given complexity and lack of output schema.

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 coverage is 100% and schema already describes parameter behavior. Description restates the omit-to-list behavior but adds usage context, 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?

Description clearly states the tool retrieves saved values or lists keys, with specific verb-resource pairing. Distinguishes from siblings 'remember' and 'forget' by naming 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?

Explicitly tells when to use (look up context) and alternatives (remember to save, forget to delete). Provides examples and scoping information.

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

A3.7/5.0
Disambiguation3/5

While individual tool descriptions are detailed and specific, the set includes overlapping tools like ask_pipeworx and ask_pipeworx_grounded, and several prediction market tools with similar purposes (bet_research, polymarket_edges, polymarket_arbitrage). The broad range of unrelated domains means many tools are distinct, but some pairs are ambiguous.

Naming Consistency2/5

Tool names use snake_case but follow no consistent pattern. Some are verb_noun (ask_pipeworx, query_layer), some noun_verb (ai_visibility_check, entity_profile), and some have inconsistent structure (discover_tools, recent_alerts). The mix of conventions reduces predictability.

Tool Count1/5

33 tools is excessive for a server named 'Arcgis Tucson', as only 3 tools relate to ArcGIS (search_datasets, layer_info, query_layer). The rest span completely unrelated domains (Pipeworx data, Polymarket, memory, npm scanning, etc.), creating a severe mismatch between server name and tool functionality.

Completeness3/5

Considering the actual tool surface (a diverse data retrieval and prediction market analysis set), it is reasonably complete for common lookups (SEC, FDA, economics, news, bets). However, it lacks web search and the ArcGIS tools are minimal. The absence of a cohesive domain makes completeness hard to judge, but for the implied data-retrieval purpose, it's passable.