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discover

Discover all available PulseNetwork verticals. Returns a categorized list of all 76 intelligence APIs (981 endpoints) with descriptions, coverage, pricing, and available actions. Use this to find the right vertical for a task.

Input Schema

NameRequiredDescriptionDefault
categoryNoFilter by category: finance | health | law | travel | real-estate | crypto | career | data | global | all

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations and no output schema, the description carries the full disclosure burden, and it does describe the payload content well (categories, descriptions, coverage, pricing, available actions). It says nothing about read-only safety, rate limits, or response size, so important behavioral context is left unstated.

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?

Two sentences, front-loaded with the core action, with the detail about return contents in the second sentence. Efficient overall; only minor redundancy between 'Discover all available verticals' and the enumerated return contents.

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?

Since no output schema exists, the description appropriately compensates by enumerating what the response contains. For a simple, zero-required-parameter discovery tool this is largely complete; the only gap is that it never positions itself against the other discovery siblings.

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 description coverage is 100% and the single optional 'category' parameter is fully enumerated in the schema itself. The description adds no extra semantics about filtering by category, so the baseline 3 for schema-does-the-work applies.

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?

States a specific verb+resource ('Discover all available PulseNetwork verticals') and even quantifies scope (76 APIs, 981 endpoints), so the agent immediately knows this is a catalog/browse tool. It does not, however, differentiate itself from semantically adjacent siblings like catalog_search or findpulse, leaving the agent to infer the boundary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

Provides one usage sentence, 'Use this to find the right vertical for a task,' which implies the intended context. There is no when-not guidance and no mention of competing alternatives (catalog_search, findpulse, get_openapi_spec), which is exactly what an agent would need to route correctly among these catalog-style 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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