List Nodehour's services
list_propositionsList Nodehour's services with a one-line summary: lookups that run instantly, and requirements you can send.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_propositionsList Nodehour's services with a one-line summary: lookups that run instantly, and requirements you can send.
| 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 readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is fully covered elsewhere. The description adds that results are one-line summaries and hints at two content categories (instant lookups vs. sendable requirements), which is useful but stated too vaguely to be actionable.
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 sentence with the resource front-loaded, so nothing is wasted. But the compressed colon clause is ambiguous rather than efficient — the reader is left parsing what 'lookups that run instantly' means in a listing context.
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 list tool with full annotation coverage and no output schema, the description covers the essential facts: what is listed and the approximate shape of each result. It falls short on what an agent should do with the results — e.g., that describe_proposition gets details or submit_request sends a requirement — which matters given two tightly related siblings.
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, so the schema baseline of 4 applies; there is nothing for the description to document. The description correctly implies no input is needed to enumerate the list.
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 gives a specific verb and resource ("List Nodehour's services") and even a return-format hint ("with a one-line summary"), which helps decode the otherwise opaque name 'propositions'. However, the trailing clause ("lookups that run instantly, and requirements you can send") is cryptic and the description never relates this list to the sibling describe_proposition, so an agent must guess how the two fit together.
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 explicit when-to-use guidance, no prerequisites, and no mention of alternatives even though describe_proposition and submit_request are obvious candidate next steps. The agent can infer this is a discovery/enumeration tool, but that inference comes from the name and annotations, not the text.
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.