Review SparkClose readiness
sparkclose.readinessRead financing readiness and issue metadata; this is not a completed closing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
sparkclose.readinessRead financing readiness and issue metadata; this is not a completed closing.
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, and the description reinforces this by saying 'Read' rather than 'create' or 'update'. The added clarification that this is not a completed closing is a meaningful behavioral nuance beyond the annotations, preventing agents from treating the result as a final closing record.
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?
The description is a single concise sentence that front-loads the action and includes a useful clarifying exclusion. No words are wasted, and every component 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 simple read-only tool with one obvious parameter, clear annotations, and an output schema present, the description provides sufficient context. It explains what the tool does, clarifies what it is not, and the output schema covers return-value details.
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 the description does not explicitly explain how 'project_id' relates to the readiness data being read. The parameter name and title are somewhat self-explanatory, but the description adds no parameter-level meaning and does not compensate for the missing schema description.
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?
Description uses a specific verb ('Read') and resource ('financing readiness and issue metadata'), and explicitly differentiates itself from a completed closing, which distinguishes it from siblings like sparkclose.close_investment. An agent can understand exactly what this tool is for.
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 description gives clear context: this tool reviews readiness and issue metadata. It also provides an explicit exclusion—'this is not a completed closing'—which helps prevent misuse. It does not name an alternative tool, so it stops short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.