Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.
| Name | Required | Description | Default |
|---|---|---|---|
| context | Yes | A description of your goal and what kind of tool would help accomplish it. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows the tool is safe. The description does not contradict these annotations. It adds no behavioral context beyond the purpose (e.g., it does not state what the result looks like or whether it returns a list of tool names). Given the rich annotations, the description does not need to repeat safety, but it could add value by describing the expected output, which it does not.
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, concise sentence that front-loads the action ('Check for additional tools') and immediately provides the usage condition. There is zero wasted wording, and every word contributes to the meaning. It is appropriately sized for a simple meta-tool.
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?
The tool is simple with one well-described parameter, and annotations cover safety. However, the description does not mention what the tool returns (e.g., a list of tools, tool descriptions) or any limits or formatting. Since there is no output schema, the agent has no way to know what to do with the response. This is a notable gap for a tool that is meant to expand the agent's capabilities, making it incomplete.
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 input schema provides 100% coverage of the only parameter 'context', with a clear description: 'A description of your goal and what kind of tool would help accomplish it.' This fully explains the parameter, so the description does not need to add more. The tool description does not add any additional parameter semantics, but the schema already does the heavy lifting, meeting the baseline for high coverage.
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 clearly states the tool's purpose: to check for additional tools. It uses a specific verb ('check') and resource ('additional tools') and distinguishes itself from the sibling tools (which are all domain-specific leadership/coaching tools) by being a meta-tool for tool discovery. However, it could be more specific about what kind of tools are returned (e.g., a list of names, schemas, descriptions), so it is not a perfect 5.
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 description gives a clear condition for use: 'whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.' This tells the agent when to invoke it but does not mention any exclusions or alternatives (which is less relevant since this is a discovery tool). It also does not provide guidance on how to structure the context parameter for best results, leaving some ambiguity.
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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Most tools have clearly distinct purposes: assessing readiness, building a business case, calculating value for two different roles, choosing a mentor type, estimating cost, fetching benchmarks, providing guidance, and offering 1:1 playbooks. The only slight overlap is between assess_team_lead_readiness and get_first_time_manager_guidance, both addressing the IC-to-manager transition, but the former is a test with a verdict and the latter is broader guidance, so they remain distinguishable.
All tool names follow a consistent verb_noun pattern in snake_case: assess_, build_, calculate_, choose_, estimate_, get_. The verbs accurately describe the action, and the nouns specify the object. There are no mixing conventions or vague names like 'process' or 'run'. This is a highly predictable and coherent naming scheme.
With 10 tools, the count is right in the sweet spot for a focused toolkit. Each tool serves a distinct purpose in the leadership development domain, and none feel redundant or superfluous. The number is substantial enough to cover multiple use cases without overwhelming users.
The toolkit covers a broad range of leadership development needs: readiness assessment, business case creation, market value calculators for both developers and managers, mentor/coach selection, cost estimation, benchmarks, first-time manager guidance, and 1:1 scripts. The only noticeable gap is perhaps a tool for ongoing development planning or tracking progress, but the existing set covers the primary workflows effectively.