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Idempotent

Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key (e.g., "subject_property", "target_ticker", "user_preference")
valueYesValue to store (any text — findings, addresses, preferences, notes)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Discloses key behavioral traits: key-value store, scoped by identifier, persistent for authenticated users, 24-hour retention for anonymous sessions. Aligns with annotations (idempotent, non-destructive), adding concrete details.

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?

Concise, well-structured, and front-loaded. Every sentence adds value: purpose, usage, behavior, and pairing with siblings. No wasted words.

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?

Complete for a simple key-value tool. Covers purpose, usage, persistence, scoping, and connection to sibling tools. No gaps given the context.

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% and parameter descriptions are clear. The description adds meaningful context with example key patterns and value types, slightly exceeding the baseline 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 saves data for reuse across conversations, with specific examples (ticker, address, preference). It effectively distinguishes from sibling tools recall 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?

Explicitly states when to use ('when you discover something worth carrying forward') and pairs with recall/forget, providing clear guidance on 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

A3.6/5.0
Disambiguation2/5

Several tools have overlapping purposes: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all route broad factual questions; ai_visibility_check and scan_competitor_ai_presence overlap heavily; and the Polymarket tools blur into each other. The five PayPal tools are distinct, but the rest of the set has real boundary ambiguity.

Naming Consistency4/5

Names are almost entirely snake_case and mostly follow a verb_noun or domain_prefix pattern (paypal_*, pipeworx_*, polymarket_*). Minor deviations like entity_profile, recent_alerts, and pipeworx_feedback are noun-phrase style, but the overall convention is predictable and readable.

Tool Count1/5

A server named 'Paypal' exposes 36 tools, only five of which relate to PayPal. The remaining 31 are a grab bag of Pipeworx data lookups, Polymarket betting tools, memory helpers, and subscription utilities. This is an extreme scope mismatch for the apparent domain.

Completeness2/5

The PayPal surface is read-only: it can list/get invoices, list transactions, list disputes, and get an order, but has no create, update, send, capture, refund, or dispute-response operations. Even if the unrelated tools are ignored, a meaningful PayPal workflow is left incomplete.