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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false; the description adds value by explaining that 'anything that buys, sells or writes refuses' and that data 'comes back as it is' through a third-party-hosted seat. This gives the agent useful behavioral context beyond the structured annotations without contradicting them.

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 first sentence and examples are front-loaded and compact, but the latter half mixes useful operational context ('Called through their seat; their data comes back as it is') with tangential promotional material ('a live seat on The Wall', listing URL). It is not bloated, but the listing link and some marketing phrasing do not directly help an agent invoke the 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?

This is a low-complexity tool with one fully documented required parameter, no nested objects, and no output schema. The description covers what is searched, gives examples, and explains the read-only/pass-through nature of the data. It is complete enough for an agent to call correctly, though it does not describe the return shape in detail.

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 fully documents the single required query parameter with 'Search query', so the baseline is 3. The description earns a 4 by providing a list of realistic query examples (menu, help, auth, trending, mint address, ticker), which clarifies the intended input style and acceptable content beyond the bare schema label.

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 names a specific verb and resource ('Search OrbitX Agent MCP capabilities and tokens') and supplies concrete query examples like 'menu, help, auth, trending, mint address, ticker,' so an agent can infer what this tool accepts. It is not a 5 because the scope is slightly fuzzy: 'capabilities and tokens' mixes discovering MCP commands with crypto token search, and there is a nearby sibling orbitx__orbitx_search that is not explicitly differentiated.

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 explicit guidance is given about when to use this tool versus alternatives such as orbitx__orbitx_search, registry_search, or search_harnesses. The query examples imply use cases, and the note that read-shaped tools only are exposed offers some context, but the description never states a selection rule, exclusions, or preferred alternative.

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