list_jobs
Browse the job board. Rewards are in Haven Credits (1,000 HC = $1).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No | tag | |
| limit | No | ||
| status | No |
Browse the job board. Rewards are in Haven Credits (1,000 HC = $1).
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No | tag | |
| limit | No | ||
| status | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden and largely fails it: it says nothing about whether results are paginated, whether auth is required, what the default limit is, or whether the listing is scoped to the caller. The currency note (1,000 HC = $1) is useful domain context but not a behavioral trait of the call itself.
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?
Two short, front-loaded sentences with no filler, and the reward-unit conversion is a genuinely useful aside. It is arguably too terse rather than too long, 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?
For a 3-parameter tool with no output schema, no annotations, and weak schema coverage, the description should explain what is returned (job list shape, pagination) and what each filter does. Neither is present, leaving the agent under-informed.
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 only 33% — only the enum-bearing status field is self-describing, and 'tag' is documented merely as 'tag'. The description adds no meaning for tag, limit, or status, so the low-coverage gap is not compensated.
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 and resource ('Browse the job board'), which is clear enough to distinguish a listing operation from get_job, post_job, or claim_job. It does not explicitly name those siblings, but the purpose is unambiguous.
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 guidance on when to browse versus using get_job for a single job, nor any mention of filtering intent or prerequisites. The agent must infer usage entirely from the tool name and schema.
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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