Cloud agents compared
list_cloud_agentsCloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| limit | No | ||
| query | No |
list_cloud_agentsCloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| limit | No | ||
| query | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered without description help. The description adds that results carry specs and monthly prices, which is modest useful context. It does not disclose ordering, pagination behavior despite a limit parameter, or the shape of returned records.
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 front-loaded sentence with no filler or repetition. It is economical, though the absence of a verb makes the brevity feel more like underspecification than tight writing.
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 three-parameter tool with 0% schema coverage, zero annotations needing supplementation aside, and no output schema, the description should at minimum explain the kind enum, the query semantics, and what the listing returns. As written it does not give an agent enough to call the tool correctly with confidence.
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?
Schema description coverage is 0% and there are three parameters. The description explains none of them: 'kind' is an enum but the allowed values (personal/work/platform) are never mentioned, 'query' is undocumented, and 'limit' is unexplained. The description must carry this burden and does not, leaving all three parameters opaque.
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 identifies the resource (cloud agents) and mentions specs and monthly prices, so the domain is discernible. However, it omits the verb entirely – is this a listing, comparison, or lookup tool? The title 'Cloud agents compared' hints at comparison but the description itself never states an action, and it's indistinguishable from a plain product listing versus a comparison tool without guessing.
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?
No when-to-use or when-not-to-use guidance is provided. Siblings like list_llm_prices and list_gpu_prices are adjacent in the pricing domain, and nothing in the description explains when an agent should pick this tool over those or over estimate_self_hosting. The task is left to inference.
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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