List affiliate networks
list_networksList the affiliate networks (the keys search_affiliate_programs accepts) with a count of programs on each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_networksList the affiliate networks (the keys search_affiliate_programs accepts) with a count of programs on each.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so safety is covered. The description adds the one behavioral trait not in structured data: the result includes per-network program counts, telling the agent what payload to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with zero filler; the resource, the key relationship, and the count detail are all front-loaded and every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter listing tool with no output schema, the description supplies what is missing: what is returned (networks plus program counts) and why it matters (keys for search_affiliate_programs). Annotations cover the safety profile, so nothing essential is absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters, so there is nothing to mis-specify; baseline 4 applies. The description correctly implies no filtering arguments are needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (List) and resource (affiliate networks) and disambiguates from siblings by naming search_affiliate_programs and explaining the returned values are that tool's accepted keys. An agent can tell what this does versus list_categories or search_affiliate_programs without opening a schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The parenthetical establishes the call context: use this to discover valid network keys before calling search_affiliate_programs. It gives clear intended usage but no explicit exclusions or when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.