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Glama

Crypto Fng

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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • addedInput schema / properties / claim_token
      Added value: +{
+  "description": "Read 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.",
+  "type": "string"
+}
    • removedInput schema / required
      Removed value: -[
-  "type",
-  "message"
-]
  2. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations are all false, providing little signal, so the description carries the burden. It adds rate limiting (5 per identifier/day), free/no quota, claim_token return behavior, and roadmap signal, going well beyond structured metadata.

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 long but front-loaded and information-dense; each sentence adds scope, alternatives, or behavioral detail. It is appropriately structured, though it slightly repeats schema content for claim_token.

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 4 optional params and no output schema, the description sufficiently explains return-ish behavior via claim_token, rate limits, and scope. It fully equips an agent to decide whether and how to invoke.

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?

Input schema covers all parameters at 100%, so baseline is 3. The description adds some guidance on framing feedback in terms of Pipeworx tools/packs, but most parameter details (message length, claim_token usage) already appear in 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 specific verb and resource: 'Tell the Pipeworx team something is broken, missing, or needs to exist.' This clearly distinguishes it from sibling tools like ask_pipeworx or discover_tools by framing it as feedback rather than query/research.

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?

It explicitly enumerates when to use: for wrong/stale data (bug), missing tool (feature/data_gap), or praise. It also specifies exclusions—only tools served by this Pipeworx connection, not other MCP servers—and tells users to file elsewhere.

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

All Crypto Fng toolsInspect
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TDQS

A3.7/5.0
Disambiguation2/5

Several tools overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all route questions through the same underlying catalog with only subtle differences. The polymarket family (arbitrage, edges, edge_tracker, fill_risk, kalshi_spread, bet_research) also has fuzzy boundaries. Only the Crypto Fear & Greed tools are clearly distinct.

Naming Consistency3/5

Most tools follow a snake_case verb_noun pattern, but there are notable deviations: the ask_pipeworx_* family uses object-style names, pipeworx_feedback and polymarket_edges are noun_noun, and current_index vs index_history uses 'index' inconsistently. The polymarket_* family mixes verb and noun styles internally.

Tool Count2/5

33 tools is heavy for a server ostensibly named 'Crypto Fng' — only 2 of the tools relate to that core purpose. The rest constitute a broad generic data-research and prediction-market platform that would be more appropriately scoped as its own server. The count exceeds the comfortable range for an agent to reason over.

Completeness4/5

Within the actual (broad) domain, the surface is fairly complete: discovery (discover_tools, suggest_questions), querying (ask_pipeworx family), grounded verification (validate_claim, ask_pipeworx_grounded), deep research, entity resolution/profile/comparison, memory lifecycle, and subscription lifecycle. The named crypto-sentiment domain is fully covered with current and historical index tools, though the underlying 5,708 pack tools are only reachable indirectly through the router.

Resources