Use when someone asks about Jennifer Rebholz's speaking engagements, CLE appearances, conference panels, faculty roles, or teaching. Returns current and recent speaking and teaching commitments.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations include readOnlyHint=true, consistent with description. Description adds context about returning 'current and recent' commitments. Could mention if historical data is excluded, but sufficient.
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 sentences, front-loaded with usage instruction, no wasted words.
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?
Simple tool with no output schema. Description covers purpose and recency. Missing details on return format (e.g., list, count), but sufficient for selection.
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?
No parameters; schema coverage 100%. Description adds no parameter info because none needed. Baseline for 0 params is 4.
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?
Description clearly states it returns speaking engagements, CLE appearances, conference panels, faculty roles, and teaching. Distinguishes from siblings like get_publications and get_qa.
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?
Explicitly says 'Use when someone asks about...' and lists specific topics, providing clear guidance on when to use this tool.
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 aspect of Jennifer Rebholz's professional profile (e.g., bio, biography, career timeline, practice areas). Even the seemingly similar get_bio and get_biography are clearly differentiated by their descriptions: one returns full background, the other returns press-ready versions. An agent can easily select the correct tool based on the user's query.
All tools follow a consistent get_noun pattern (e.g., get_affiliations, get_bio, get_biography). This makes the tool surface predictable and easy to navigate for both agents and developers.
17 tools is slightly above the ideal range of 3-15 for a knowledge base, but the count is justified by the breadth of information covered (bio, career, practice areas, publications, etc.). No tool seems redundant, and the set is well-scoped to a single attorney.
The tool surface covers all major aspects of an attorney knowledge base: biography, career timeline, practice areas, credentials, affiliations, publications, speaking engagements, trials, recognition, and contact information. There are no obvious gaps in the lifecycle of information about Jennifer Rebholz.
