search_books
Search the SageChimp catalog by title, author, slug, or ISBN. Use this first when the user names a book but you do not have a slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | Title, author, slug, or ISBN |
Search the SageChimp catalog by title, author, slug, or ISBN. Use this first when the user names a book but you do not have a slug.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | Title, author, slug, or ISBN |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral burden. It discloses the discovery/entry-point role but says nothing about result ordering, matching strategy (substring vs exact), empty-result behavior, or rate limits. Adequate but with clear gaps.
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 sentences with no redundancy, and the workflow hint ('use this first') is front-loaded immediately after the capability statement.
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?
Covers what the tool searches, which fields, and when to reach for it – enough for an agent to invoke it correctly. Missing only minor behavioral details (result ordering, partial matching, empty results) that would round it out.
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 coverage is only 50% (limit is undocumented in the schema), and the description partially compensates by naming the four accepted query flavors. It still does not clarify limit semantics or max value, so it does not fully fill the coverage gap.
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?
Names the specific catalog (SageChimp) and the searchable fields (title, author, slug, ISBN), so the resource and verb are unambiguous. It is clearly distinguished from the sibling tools, which deal with reviews and verdicts rather than discovery.
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 states 'Use this first when the user names a book but you do not have a slug' – a clear entry-point condition. It implies downstream alternatives (get_book_reviews, get_book_verdict) without naming or excluding them, so it stops just short of a full when/when-not.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.