get_profile_summary
Profile summary: entity (name, aliases, canonical @id, sameAs), availability, and machine-readable pointers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Profile summary: entity (name, aliases, canonical @id, sameAs), availability, and machine-readable pointers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It states the content bucket but not whether the response is cached, what happens for unknown entities, or any auth/rate considerations. For a zero-parameter lookup with no annotations this is thin.
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?
One compact sentence with the content list front-loaded after the label. Efficient, though the colon-list style is dense and slightly telegraphic.
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?
No output schema exists, so the description must describe the return surface — and it does list the main fields. But with no annotations and no input parameters, the omission of return format, resolution failures, and sibling boundaries leaves real gaps.
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?
Zero parameters, so there are no parameter semantics to convey; baseline is 4. The description does clarify what the returned entity fields are, which is a small bonus.
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 resource (profile summary) and enumerates its contents (entity name/aliases/@id/sameAs, availability, pointers), which distinguishes it from sibling get_availability and get_project. However, it never explicitly contrasts with those siblings, so an agent must infer the boundary.
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?
No when-to-use guidance, no alternatives named, no exclusions. Nothing tells the agent when to pick this over get_availability or get_project despite those siblings plausibly covering overlapping data.
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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