List spaces
list_spacesEvery space with testimonial counts by status, form and widget counts, and its wall of love URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_spacesEvery space with testimonial counts by status, form and widget counts, and its wall of love URL.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
No schema history has been recorded yet.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered; the description's added value is disclosing the return content (counts by status, form/widget counts, wall-of-love URL). With no output schema present, that return-shape context is genuinely useful, though it stops short of mentioning pagination or ordering.
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. The parallel list ('testimonial counts by status, form and widget counts, and its wall of love URL') is slightly compressed and takes a beat to parse, but nothing is wasted.
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 no-param, no-output-schema read tool the description covers the essentials by naming the returned fields. It omits whether things like space name/id or empty spaces are included, which a consumer would need, but the gap is minor.
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 there is nothing for the description to disambiguate. Baseline 4 applies; no parameter meaning is missing or contradicted.
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 clearly identifies the resource (spaces) and enumerates the payload (testimonial counts by status, form/widget counts, wall-of-love URL), which sets it apart from siblings like list_forms, list_widgets, and list_testimonials. It never uses an explicit verb like 'list', but 'Every space with...' makes the operation unambiguous.
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?
For a zero-parameter list tool the usage is largely implied by the name, and no alternatives or when-not-to-use conditions are offered. There is no guidance linking it to get_account_overview or other aggregate reads, so the agent must infer when to reach for it.
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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