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Glama

Openrouter

by io.github.pipeworx-io

Remember

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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)

TDQS

A4.5/5.0
Behavior5/5

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

Beyond annotations (idempotentHint=true, destructiveHint=false), the description discloses scoping by identifier, persistence for authenticated users, and 24-hour retention for anonymous sessions, adding valuable behavioral context.

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 concise (~50 words), front-loaded with main purpose, followed by usage guidance, examples, and pairing with sibling tools. Every sentence is necessary and well-structured.

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?

Given the simplicity of the tool (2 params, no output schema), the description fully covers purpose, usage, behavior, and pairing with related tools. No gaps remain.

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 parameter descriptions. The description adds usage context (e.g., scoping) but does not significantly enhance meaning beyond the schema, 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?

The description clearly states the verb ('Save data') and resource ('the agent will need to reuse later') and distinguishes from sibling tools like 'recall' and 'forget' by 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 Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear guidance on when to use ('when you discover something worth carrying forward') and gives examples, but does not explicitly state when not to use or list alternative tools beyond recall/forget.

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

All Openrouter toolsInspect
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TDQS

A3.9/5.0
Disambiguation3/5

Several tools overlap in purpose: ask_pipeworx and ask_pipeworx_beta are explicitly identical today, and the polymarket_edges, polymarket_arbitrage, bet_research, and polymarket_fill_risk tools all orbit market-opportunity analysis from slightly different angles. The descriptions are unusually detailed and often say when to prefer one tool over another, but an agent must read carefully to avoid misselection.

Naming Consistency4/5

Names are consistently snake_case and mostly follow a verb_noun pattern (list_models, get_model, resolve_entity, validate_claim, scan_dependency), with predictable domain prefixes like polymarket_* and pipeworx_*. A few noun-first names like entity_profile, bet_research, and ai_visibility_check deviate slightly, but the overall convention is readable and coherent.

Tool Count2/5

34 tools is well into the 'too many' range, especially for a server named Openrouter that actually spans several unrelated domains: model catalog, Pipeworx data retrieval, Polymarket analysis, memory, subscriptions, and website tooling. Many individual tools are justified, but the set is overstuffed and would be better split into focused servers.

Completeness3/5

Each sub-domain is reasonably covered: model catalog has list/get/compare, memory has remember/recall/forget, subscriptions have subscribe/list/unsubscribe/recent_alerts, and Pipeworx querying has multiple modes plus discovery. However, a server named Openrouter exposes no way to actually run completions or route requests through OpenRouter, and the unrelated bundled domains make the overall surface feel scattered rather than complete.

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