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Glama

Rubygems

by io.github.pipeworx-io

Remember

remember
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?

Annotations indicate idempotentHint=true, destructiveHint=false. The description adds scoping by identifier, persistence differences (authenticated vs anonymous, 24-hour retention), and storage mechanism (key-value pair). No contradiction with annotations.

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 single, well-structured paragraph. It front-loads the core purpose, then provides usage guidelines, storage details, and sibling references. Every sentence adds value with no redundancy.

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 key-value store with 2 parameters and no output schema, the description is complete. It covers purpose, usage conditions, persistence behavior, and sibling tools. Annotations already provide safety profile.

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 covers 100% of parameters with descriptions. The description enhances understanding by listing example keys and stating that value is 'any text — findings, addresses, preferences, notes', adding context beyond the schema.

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 purpose: 'Save data the agent will need to reuse later'. It specifies the action (save), resource (data), and context (across conversation/sessions). It distinguishes from siblings by mentioning pairing with '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?

The description explicitly tells when to use: 'when you discover something worth carrying forward'. It provides concrete examples (resolved ticker, target address, etc.) and mentions alternatives: 'Pair with recall to retrieve later, forget to delete'.

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

B3.4/5.0
Disambiguation2/5

Many tools have overlapping purposes (ask_pipeworx vs ask_pipeworx_beta are currently identical; ai_visibility_check vs scan_competitor_ai_presence; discover_tools vs suggest_questions; validate_claim vs ask_pipeworx_grounded; multiple polymarket tools). The wide mix of unrelated domains (RubyGems, Pipeworx data, memory, subscriptions) makes it hard for an agent to know which tool to pick.

Naming Consistency2/5

All tools use snake_case, but there is no consistent verb_noun pattern. Names include bare verbs (remember, recall, forget, subscribe), nouns (polymarket_edges, pipeworx_feedback), noun-first composites (ai_visibility_check, bet_research), and brand names (ask_pipeworx). The 'pipeworx_' prefix appears on only a few tools, adding inconsistency.

Tool Count2/5

36 tools is excessive for a server named Rubygems, especially since only 5 tools (search_gems, get_gem, get_versions, get_dependencies, get_reverse_dependencies) actually relate to RubyGems. The rest cover unrelated domains, making the count feel bloated and unfocused.

Completeness2/5

The RubyGems cluster is arguably complete for basic lookups (search, metadata, versions, dependencies, reverse dependencies), but it is buried among 31 unrelated tools that have no coherent domain. The server fails to fully cover either RubyGems (no way to browse all gems, no yanked versions, no gem download/content) or any other single purpose, leaving the surface incomplete and inconsistent.

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