TradeBasis Automotive Appraisal MCP

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that the tool returns static markdown with an as_of date, which is meaningful behavioral context. Since no annotations are provided, the description carries the burden adequately. It could add more but is sufficient for a simple read-only tool.

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 two concise sentences, front-loaded with the core purpose, and contains no filler or redundant information.

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 simple, zero-parameter informational tool, the description fully explains what it returns (static markdown) and the content scope (what, problem, differentiation, audience). It is complete enough for an agent to know what to expect, though it could optionally clarify the as_of date further.

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 tool has zero parameters, so the schema is fully covered. The description appropriately does not need to explain parameters; baseline of 4 is justified.

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 what the tool does: it returns static markdown about TradeBasis, including the problem it solves, differentiation, and target audience. This is specific and distinguishes it from siblings like pricing and research library tools.

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?

Usage context is implied (use this for an overview of TradeBasis), but there is no explicit guidance on when to use this tool versus the sibling tools tradebasis_pricing_and_tiers or tradebasis_research_library. No alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It discloses that the tool returns 'static markdown', indicating a read-only, fixed-content resource with no side effects or dynamic behavior. While it doesn't discuss authentication or caching, the static nature is a meaningful behavioral trait for a zero-risk tool.

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 main subject (TradeBasis subscription tiers) and compactly conveys the content details (what each includes, who each is for) and the format (static markdown). 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?

Given the low complexity (no parameters, no output schema, no annotations), the description is complete: it states the subject, the scope (Lite vs Pro), the content nature (includes and audience), and the format. No additional behavior or return value details are necessary.

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 tool has zero parameters, and schema description coverage is 100% (empty schema). The description does not need to explain parameter semantics; the baseline for a parameterless tool is 4, which is appropriate here.

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 identifies the tool as providing TradeBasis subscription tier information (Lite vs Pro), including what each includes and who each is for, and explicitly notes it is static markdown. This fully distinguishes it from sibling tools tradebasis_about and tradebasis_research_library.

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?

There is no explicit guidance on when to use this tool versus the siblings (tradbasis_about, tradebasis_research_library). The purpose is implied (pricing/questions), but no alternative boundaries or exclusion criteria are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility for behavioral disclosure. It states that the content is 'static' and 'returns static markdown,' which implies a read-only operation with no side effects. It also explains the different behavior for list vs. retrieve, providing useful transparency beyond the bare minimum.

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 two sentences long, front-loaded with the tool's purpose, and contains zero wasted words. It efficiently covers both invocation modes and the return format.

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 simple tool with one optional parameter and no output schema, the description provides all necessary context: how to list vs. retrieve, what the parameter means, and what the return value looks like (static markdown). It is complete for the tool's complexity.

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 schema already fully describes the 'topic' parameter (brief slug or title, omit to list all briefs). The description repeats this information without adding new semantic details, so the baseline score of 3 is appropriate given the high schema 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 function: providing static research/market-report briefs, with explicit instructions to list all briefs when called with no arguments or retrieve a single brief by topic. This distinguishes it from the sibling tools (about, pricing) by its focus on research briefs.

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 clear usage direction: call with no arguments to list available briefs, or pass a topic (slug or title) to retrieve a specific brief. It does not explicitly mention alternatives or when not to use, but the sibling tool names are sufficiently distinct that the use case is obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.