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Iso

by io.github.pipeworx-io

Send Pipeworx Feedback

pipeworx_feedback

Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a claim_token; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNobug = something broke or returned wrong data. feature = a new tool or capability you wish existed. data_gap = data Pipeworx does not currently expose. praise = positive note. other = anything else.
contextNoOptional structured context: which tool, pack, or vertical this relates to.
messageNoYour feedback in plain text. Be specific (which tool, what error, what data was missing). 1-2 sentences typical, 2000 chars max.
claim_tokenNoRead the reply to a report you filed earlier: pass the `pwfb_…` token that filing returned, with no other arguments. Returns the status and, once resolved, what actually changed.

TDQS

A4.9/5.0
Behavior5/5

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

Annotations are all false and provide no hints, so the description carries the full burden. It discloses rate limits (5 per identifier per day), free usage, that it doesn't count against quota, the claim_token flow, daily digest reading, and roadmap influence. This far exceeds what annotations offer.

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 long but every sentence earns its place. It front-loads the purpose, then logically moves through use cases, exclusions, claim_token flow, and limitations. No fluff or repetition; the density is appropriate for the tool's many nuances.

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 tool's moderate complexity, no output schema, and 100% schema parameter coverage, the description fills all remaining gaps: return value behavior, rate limits, account handling, and relationship to sibling tools. An agent can safely invoke and follow up on this tool without further clarification.

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%, so baseline is 3. The description adds a meaningful flow explanation for claim_token (filing without an account returns it and can be passed back later), and emphasizes describing issues in terms of Pipeworx tools/packs, which contextualizes the context object. This goes slightly 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 opens with a clear, specific verb+resource: 'Tell the Pipeworx team something is broken, missing, or needs to exist.' It clearly distinguishes feedback from sibling tools like ask_pipeworx or discover_tools, and the scope is explicitly limited to Pipeworx-served tools.

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 scenarios (bug, feature/data_gap, praise) and a clear when-not-to-use exclusion ('if the tool came from a different MCP server... file it with that server instead'). Names alternatives (other server connectors) and gives a disambiguation rule for identifying Pipeworx tools.

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
Disambiguation3/5

Tools are mostly distinct but there is some overlap among lookup tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, entity_profile) and among Polymarket tools (bet_research, polymarket_edges, polymarket_arbitrage). Agents might occasionally struggle to choose the right one.

Naming Consistency2/5

Naming is inconsistent: some use verb_noun snake_case (ask_pipeworx, compare_entities), some are single words (forget, recall, remember), and others are noun-based (compliance_catalog, entity_profile). No consistent pattern.

Tool Count1/5

With 34 tools, the count is too high for a server named 'ISO Standards'. The majority of tools are unrelated to ISO standards (e.g., Polymarket, memory, web scraping), making the scope highly inappropriate.

Completeness1/5

As an ISO standards server, the tool set is severely incomplete. Only 4-5 tools (search_standards, get_standard, compliance_catalog, open_data_files) actually deal with ISO standards. Essential operations like comparing standards or browsing revisions are missing.

Resources