get_availability
Current availability, work scope, and the contact boundary (no raw email is published).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Current availability, work scope, and the contact boundary (no raw email is published).
| 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 burden. It does disclose one genuine behavioral trait beyond structured data: the contact boundary where no raw email is published, which tells the agent what it will not receive. However, it says nothing about whether this is a read-only operation, freshness of the availability data, or any permission requirements.
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 front-loaded sentence with no filler; each of the three listed content types earns its place. It is slightly terse for a tool whose subject (whose availability) is ambiguous.
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, no annotations, and no parameters, the description is the only source of information. It covers the returned fields and the email-privacy constraint, but leaves the data source, scope, and freshness unstated for a tool whose subject is not identified.
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 of 4 applies. The description correctly adds no parameter detail because there is nothing to parameterize.
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 the returned content (availability, work scope, contact boundary) but uses a noun phrase rather than a verb+resource statement, and it never says whose availability is fetched. It is distinguishable from get_project or search_faq, but it overlaps noticeably with the sibling get_profile_summary without clarifying the difference.
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 when-to-use guidance and no reference to any alternative, despite get_profile_summary being an obvious candidate for the same profile-adjacent information. The agent must infer the choice from the tool name alone.
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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