Skip to main content
Glama

Watchmode

by io.github.pipeworx-io

Discover Tools

discover_tools
Read-onlyIdempotent

Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for query.
taskNoAlias for query.
limitNoMaximum number of tools to return (default 20, max 50)
queryYesNatural language description of what you want to do (e.g., "analyze housing market trends", "look up FDA drug approvals", "find trade data between countries"). Accepts task, q, description, search as aliases.
searchNoAlias for query.
descriptionNoAlias for query.

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate safe, read-only, idempotent behavior (readOnlyHint: true, destructiveHint: false, idempotentHint: true). The description adds that results are 'ready to call directly, no second schema lookup needed,' giving useful context on the output format and immediate usability. 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.

Conciseness4/5

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

The description is concise (3 sentences) and front-loaded with the core purpose. It includes examples of valid queries and lists domains efficiently. Every sentence adds value, though it could be slightly more compact.

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?

Given the tool's complexity as a meta-search, the description adequately explains what it returns (top-N tools with schemas and examples) and how to use it (call first for exploration). With no output schema, the description compensates by stating the return structure. It is sufficiently complete for its context.

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 well-described parameters, including acceptable aliases for 'query'. The description provides example queries but does not add significant meaning beyond what the schema already offers. Baseline 3 is appropriate given high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it 'Find tools by describing the data or task', specifying a wide range of domains. It explains the return includes tool names, descriptions, and schemas. While it distinguishes itself from sibling tools as a discovery meta-tool, it does not explicitly contrast with other search-like tools in the list.

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 explicit guidance: 'Call this FIRST when you have many tools available and want to see the option set.' It implies the tool is for browsing and exploration, not for singular answers. However, it lacks explicit 'when not to use' or alternative tools for direct answers.

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

All Watchmode toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation2/5

The server packs in three near-identical question-answering entry points (ask_pipeworx, ask_pipeworx_beta which explicitly states it 'currently matches ask_pipeworx exactly', and ask_pipeworx_grounded), plus overlapping research tools like deep_research and validate_claim — an agent can easily misroute. The Watchmode cluster also blurs title_search vs list_titles and list_titles vs releases. The very detailed descriptions save it from a 1, but the ask_pipeworx_beta duplicate is a genuine selection hazard.

Naming Consistency4/5

Everything is snake_case and the clusters follow good prefixes — title_detail/title_search/title_seasons/title_sources, polymarket_edges/polymarket_arbitrage/polymarket_fill_risk, ask_pipeworx/ask_pipeworx_beta/ask_pipeworx_grounded. Minor inconsistency: scan_competitor_ai_presence and ai_visibility_check are sibling tools but don't share a naming pattern, and the pipeworx_*/ask_pipeworx*/plain-noun (genres, sources, regions) mix is slightly uneven. Still readable and mostly predictable.

Tool Count2/5

41 tools is heavy, but the real problem is scope: only ~10 of them are Watchmode streaming tools, while the rest are a Pipeworx data-router suite, a Polymarket/Kalshi prediction-market suite, memory, subscriptions, npm scanning, and llms.txt generation. This isn't a focused Watchmode server — it's three or four unrelated product surfaces bolted together under one name. Any single coherent feature area would justify closer to 10-15 tools.

Completeness3/5

The Watchmode core is actually well covered for a read-only catalog: search, detail, seasons/episodes, source availability, releases, and directory tools (genres/regions/networks/sources) make a complete browse-to-detail flow. But the overall surface is unfocused — AI visibility, npm deps, and llms.txt have nothing to do with the apparent purpose — and several tools are gated (deep_research needs an account, ask_pipeworx_grounded costs extra, ai_visibility_check needs a BYO key), leaving dead ends for anonymous agents.

Resources