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Glama

Chile Procurement

by io.github.pipeworx-io

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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?

The description adds behavioral context beyond annotations: it explains scoping by identifier, persistence differences between authenticated users (persistent) and anonymous sessions (24 hours). Annotations already indicate idempotentHint=true and destructiveHint=false, and the description aligns 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?

The description is a compact paragraph with front-loaded purpose. Every sentence adds value: purpose, usage examples, storage behavior, and pairing with other tools. 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?

For a simple tool with 2 parameters and no output schema, the description covers all essential aspects: what it stores, how it's stored (key-value, scoped), retention policy, and integration with siblings. No gaps remain.

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% (both parameters described), baseline 3. The description enriches parameter meaning by providing example keys ('subject_property', 'target_ticker') and clarifying that values can be any text. This adds practical context beyond the schema's generic descriptions.

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 uses specific verbs ('save data') and resources ('key-value pair'), clearly stating the tool's purpose: storing data for reuse across conversations or sessions. It distinguishes itself from sibling tools 'recall' 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 guidance on when to use the tool ('when you discover something worth carrying forward') with concrete examples (ticker, address, preference). It also mentions complementary tools ('recall', 'forget'), setting clear context for alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Chile Procurement toolsInspect
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TDQS

A3.5/5.0
Disambiguation2/5

Many tools are distinct, but the ask_pipeworx family (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) heavily overlaps—the beta is explicitly identical to the stable version. The two Chile-specific tools are clear, but the presence of numerous unrelated data tools creates confusion about which tool serves the server's purported purpose.

Naming Consistency2/5

Naming is inconsistent: some tools follow verb_noun snake_case (chile_get_tender, chile_search_tenders), others use plain verbs (ask_pipeworx) or noun_verb patterns (polymarket_arbitrage, entity_profile). Mixed conventions and varying levels of specificity make the set feel uncoordinated.

Tool Count2/5

33 tools is excessive for a server named 'Chile Procurement'—only two tools relate to Chile procurement, while the rest are generic Pipeworx data utilities. The count is not scoped to the server's stated purpose; it appears to be a bundled general-purpose toolkit rather than a focused procurement interface.

Completeness2/5

For Chile procurement, only search and get-detail are provided; there is no ability to list all historical tenders, filter by category or amount, or track bidding. The read-only surface covers basic retrieval but lacks common procurement workflows. The broader data tools are complete individually but irrelevant to the server's domain.

Resources