View Memory page
get_kb_pageOne Memory page by slug, with its full markdown body: the record the growth marketing engine drafts from. Read-only, free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The page slug, from list_kb_pages. |
get_kb_pageOne Memory page by slug, with its full markdown body: the record the growth marketing engine drafts from. Read-only, free.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The page slug, from list_kb_pages. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and closed-world scope, so 'Read-only' largely restates structured data. The one genuinely additive disclosure is 'free' (no cost/quota impact), plus the fact that the full markdown body is returned rather than a summary; not-found or auth behavior is unstated.
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 sentence, front-loaded with the resource and scope, then the behavioral qualifiers. No filler and nothing a reader must skip past.
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 output schema, the description correctly carries the return-value burden by naming the full markdown body, and it is complete for a one-param read tool. It stops short of covering failure modes (unknown slug, permission) that an agent might want before calling.
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 100% and the schema already explains that the slug comes from list_kb_pages, so the description cannot add much beyond 'by slug'. Baseline 3 is appropriate; no format or validation detail is contributed.
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?
States a specific verb+resource (fetches one Memory page) and the scope of the payload ('with its full markdown body'), which is exactly what distinguishes it from the sibling list_kb_pages. The added clause about the growth marketing engine drafting from it gives domain meaning without ambiguity.
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?
Usage is only implied: the slug parameter's schema text points at list_kb_pages, so the pair (list then view) is inferable, but the description itself names no alternative, no when-to-use condition, and no when-not-to-use case.
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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