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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

A4.4/5.0
Behavior4/5

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

Goes beyond annotations by disclosing scoping ('scoped by your identifier') and retention differences (authenticated users persistent, anonymous sessions 24 hours). Annotations only indicate idempotent and non-destructive write; the description adds meaningful behavioral context without contradicting them.

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, all information-dense and front-loaded with the core action. Every sentence adds value: purpose, usage trigger, storage format, retention policy, and companion tools. No fluff or redundancy.

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?

For a simple key-value store, the description covers purpose, usage, retention, and lifecycle (recall/forget). A minor gap is the lack of explicit mention of overwrite behavior for existing keys, but idempotent annotation implies it. Overall complete for the tool's complexity.

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% with clear descriptions for both 'key' and 'value'. The description reinforces the key-value pair concept but does not add new parameter semantics beyond what the schema already provides. Baseline of 3 applies.

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: 'Save data the agent will need to reuse later.' It uses a specific verb ('Save') and resource (key-value memory data), and distinguishes itself from sibling tools by explicitly pairing with 'recall' (retrieve) and 'forget' (delete).

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 when you discover something worth carrying forward... so you don't have to look it up again.' It also mentions companion tools for retrieval and deletion, implicitly indicating when not to use this tool (i.e., not for retrieving or deleting).

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

A3.7/5.0
Disambiguation2/5

Several clusters overlap heavily: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-identical routers (the beta currently matches stable exactly), and the Polymarket tools all circle around edge/arbitrage detection with fuzzy boundaries. The Spain tender tools and utility tools are distinct, but the overlapping clusters are enough to cause misselection.

Naming Consistency3/5

Names are uniformly snake_case and some families share clear prefixes (es_tender_*, ask_pipeworx_*, polymarket_*). However, conventions are mixed: verb-led names like compare_entities and subscribe sit alongside noun phrases like entity_profile and bet_research, so there is no consistent verb_noun pattern.

Tool Count2/5

34 tools is already in the heavy range, but the bigger problem is scope: a server named 'Spain Tenders' ships 34 tools, only 3 of which are actually Spanish-procurement tools. The rest are a broad Pipeworx/Polymarket/utility toolkit, making the count inappropriate for the declared purpose.

Completeness3/5

The three es_tender_* tools cover the core discovery workflows: keyword search, recent notices, and status filtering with budgets, deadlines, and URLs. Notable gaps remain, though: no tender detail-by-id tool, no tender-specific subscription/alerting, and no explicit region, CPV, or date-range filters.