Get profile
get_profileBo's name, bio, current role, social links. The canonical 'who is this person' summary.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_profileBo's name, bio, current role, social links. The canonical 'who is this person' summary.
| 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?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds useful behavioral context by specifying exactly which profile fields are returned, even though it does not discuss output formatting or edge cases; for a simple zero-parameter getter this is sufficient.
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 extremely concise: one sentence enumerates the content, and one sentence frames its role as canonical. Every word earns its place, and the key information is front-loaded.
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 read-only, zero-parameter profile getter with annotations covering side effects, the description is nearly complete. It does not mention an output schema or any special return conventions, but none are indicated as necessary for this simple, well-scoped tool.
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?
There are no parameters, so the description carries no burden of explaining arguments. The field listing adds semantic meaning about what the tool returns, which is relevant even without an input schema. This matches the baseline for zero-parameter tools.
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 states a specific resource (Bo's profile) and lists the contained fields: name, bio, current role, and social links. Calling it 'the canonical who is this person summary' gives it a clear identity among siblings, but it does not explicitly differentiate from get_activity or get_experience by naming them.
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 phrase 'the canonical who is this person summary' implies this tool is the go-to for a broad personal overview, which gives some usage direction. However, there is no explicit statement about when to choose this over get_activity, get_experience, or other sibling tools, so the guidance remains implicit rather than direct.
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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