list_services
The brokerage services Sell My Data To AI offers, with URLs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The brokerage services Sell My Data To AI offers, with URLs.
| 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?
No annotations are provided, so the description carries the full burden. The phrase 'with URLs' hints that each entry includes a link, and the 'list_' naming implies a read-only enumeration, but there is no explicit statement about safety, exhaustiveness, ordering, or pagination.
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?
It is a single short fragment with no wasted words, but the fragmentary grammar ('The brokerage services ... offers, with URLs') reads as an incomplete sentence rather than a front-loaded statement of what the tool does.
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, no-output-schema listing tool the description is nearly sufficient, telling the agent it returns brokerage services with URLs. It stops short of saying whether the list is complete or how it relates to the sibling buyer/service listings.
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?
The tool takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline 4 applies.
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?
The description names the resource ('brokerage services Sell My Data To AI offers') and notes it includes URLs, but it is a bare noun phrase with no verb, so the read/list action comes only from the tool name. It does not distinguish itself from the similarly-shaped sibling list_data_buyers.
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?
There is no statement of when to call this versus get_facts, get_page, search, or list_data_buyers. An agent must infer that this is the catalog lookup for service offerings.
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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