assess_opportunity_eligibility
Assess whether a funded opportunity is automatically executable, what capabilities it needs, human/account/wallet blockers, and real cost confidence.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| opportunity_id | Yes |
Assess whether a funded opportunity is automatically executable, what capabilities it needs, human/account/wallet blockers, and real cost confidence.
| Name | Required | Description | Default |
|---|---|---|---|
| opportunity_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true and destructiveHint=false, so this is already known to be a safe read. The description adds meaningful context about the kinds of determinations the tool makes (capabilities, blockers, cost confidence), but it does not describe output details or edge cases such as unfunded opportunities.
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 a single focused sentence with no filler, and the core action is front-loaded. Some jargon such as 'real cost confidence' is imprecise, but it remains compact and readable.
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?
Given a single required parameter and read-only annotations, the description covers the input adequately and hints at what the output topics will be. However, no output schema exists, and the description never states the return format or how eligibility results are represented, so an agent must infer the response shape.
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 only parameter, opportunity_id, is self-explanatory by name. The description adds a little semantic context by specifying this is about a 'funded opportunity', but it does not explain where to get the ID or what formats are accepted. With 0% schema coverage, this is adequate but not thorough.
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 verb ('Assess') and target ('funded opportunity'), and lists four concrete assessment dimensions: executable status, required capabilities, blockers, and cost confidence. It is clearer than a generic 'asses eligibility', but it does not explicitly distinguish itself from the sibling assess_real_eligibility.
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 is given about when to use this tool instead of alternatives such as assess_real_eligibility or estimate_profitability. The phrase 'Assess whether...' implies a use case, but it never states conditions, exclusions, or what makes this tool the right choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action: profile registration, work discovery, leasing, listing contributions, viewing stats, reviewing, and submitting. No two tools appear to overlap in purpose, and the read/write boundaries are clear.
Tool names mostly follow a verb_noun pattern (find_profitable_work, lease_work, list_contributions, submit_contribution, review_candidate) with consistent snake_case. Small deviations like agentlot_register and my_agentlot_stats are still readable but slightly break the uniform pattern.
Seven tools is well-scoped for an agent marketplace workflow. Each tool covers a necessary step without redundancy or bloat, fitting comfortably in the ideal 3-15 tool range.
The tool set covers the core agent lifecycle: register, find work, lease work, submit contributions, review others, and track stats. Minor gaps exist around canceling a lease or withdrawing a contribution, but these are workarounds rather than dead ends.