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Barcelona Events

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)

TDQS

A4.7/5.0
Behavior5/5

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

While annotations already indicate idempotentHint=true and destructiveHint=false, the description adds valuable context: scope by identifier, persistence differences between authenticated and anonymous sessions, and that it's a write operation. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately sized (three sentences) and front-loaded with purpose. Each sentence adds distinct information. Could be slightly more concise, but the structure is logical and efficient.

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 write tool with two parameters and no output schema, the description covers purpose, usage, behavior, scoping, and persistence. It mentions pairing with recall but doesn't detail retrieval behavior; however, overall it is sufficiently complete for an agent to use the tool correctly.

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% with both parameters described adequately. The description adds semantic value by providing example keys like 'subject_property' and explaining that value is 'any text', which helps an agent choose appropriate values 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 purpose: 'Save data the agent will need to reuse later' and specifies the resource as key-value pairs. It distinguishes from siblings by naming recall and forget, and provides concrete examples of usage (ticker, address, preference).

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 says 'Use when you discover something worth carrying forward' and gives examples. It also instructs to pair with recall and forget, providing clear guidance on when to use this tool versus 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

Many tools overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all answer factual queries with subtle differences, and the Polymarket suite (bet_research, polymarket_edges, polymarket_arbitrage, polymarket_fill_risk, polymarket_edge_tracker) has fine-grained distinctions that are hard to separate. The single Barcelona events tool is isolated and unrelated to the rest, adding to agent confusion.

Naming Consistency3/5

Most tool names use snake_case and many follow a verb_noun pattern, but there are notable inconsistencies: noun-first names (entity_profile, polymarket_arbitrage, pipeworx_trending) and modifiers like beta/grounded on ask_pipeworx introduce non-uniformity. Overall the set is readable but not consistently predictable.

Tool Count2/5

With 32 tools, the set is beyond the well-scoped 3-15 range. The count is especially inappropriate for a server named 'Barcelona Events' because only one tool actually relates to Barcelona events; the other 31 are a broad data-research and utility collection with no clear connection to the server's apparent purpose.

Completeness1/5

For a server named 'Barcelona Events', the surface is severely incomplete: it offers a single events search tool with no create, update, delete, detail, venue, or organizer operations. Even interpreting the domain broadly, the mismatch between the server name and the tool set leaves a critical gap between user expectation and actual capability.

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