Get the market digest
mcw-get-digestThe AI-written market digest for the current board: overview, the bull/neutral/bear split, per-ticker takeaways and the clustered highlights.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
mcw-get-digestThe AI-written market digest for the current board: overview, the bull/neutral/bear split, per-ticker takeaways and the clustered highlights.
| 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 must carry behavioral context. It discloses the return content well (overview, bull/neutral/bear split, per-ticker takeaways, clustered highlights), but says nothing about whether a board must be loaded first, freshness/generation timing, or cost — a meaningful gap with zero annotation coverage.
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 tight sentence that front-loads the resource and then the contents. It is a noun phrase rather than a full statement of action, 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?
With no parameters and no output schema, the description usefully spells out the shape of the returned digest, which is the main thing an agent needs. The only gap is the implicit dependence on an already-selected 'current board'.
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 baseline is 4. There is nothing for the description to disambiguate at the input level.
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 a specific artifact (the AI-written market digest) and enumerates its contents, so an agent knows exactly what this returns. It does not explicitly distinguish itself from siblings like mcw-get-board or mcw-get-story, so it falls short of a 5.
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 exclusions, and no mention of alternatives such as mcw-get-board or mcw-get-story. The phrase 'for the current board' only weakly implies a precondition (a board must be selected).
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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