AnythingMCP

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

The description indicates the tool returns setup instructions rather than performing an actual connection, which clarifies its non-mutating nature. However, with no annotations provided, it does not explicitly disclose whether any side effects occur or what the output format will be, though the simple nature of the tool mitigates this gap.

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, front-loaded sentence that directly conveys the core purpose. It avoids unnecessary details and is appropriately concise for a tool with one parameter.

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 description gives a general overview but lacks specifics about the content of the setup instructions, such as whether they are step-by-step or include troubleshooting. With no output schema and no annotations, an agent may not know exactly what to expect as a return value, but the simplicity of the tool keeps it minimally complete.

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 already provides a complete description of the 'client' parameter with an enum listing all valid options. The description merely reiterates the enum values in parentheses, adding no extra semantic meaning beyond what the schema states.

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: providing setup instructions to connect a specified AI client to AnythingMCP. It enumerates the supported clients, making it distinct from siblings like get_started or overview, which have broader or different focuses.

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 usage context is implied: an agent would use this tool when asked how to connect a specific AI client to AnythingMCP. However, there is no explicit guidance contrasting it with sibling tools like anythingmcp_get_started or anythingmcp_overview, nor any 'when not to use' statements.

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?

There are no annotations, so the description carries the full burden. It indicates the tool provides a how-to guide for installation and running, which is transparent about its informational nature. However, it does not explicitly disclose the return format or side effects, though for an informational tool this is a minor gap.

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, front-loaded sentence with no filler. It efficiently communicates the tool's purpose without unnecessary detail.

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 tool's simplicity (no params, no output schema), the description is sufficient. It explains what the tool does and is complete enough for an agent to know when and how to invoke it. The sibling tool context further clarifies its niche.

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 baseline of 4 applies. The description appropriately does not waste space explaining parameters, and the schema has no properties to document.

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: it provides instructions for installing and running an AnythingMCP gateway in ~60 seconds. This distinguishes it from sibling tools like anythingmcp_connect_client or anythingmcp_list_connectors, which have different, specific purposes.

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 implies the tool is for getting started with a gateway, but it does not explicitly state when to use it versus alternatives like connect_client or list_connectors. No exclusions or alternative recommendations are given, so usage is implied rather than explicit.

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 provided, the description carries the full burden. It mentions the scope (175+ pre-built, custom types) but does not disclose whether it returns a list, if pagination exists, whether it's read-only, or any side effects. The behavioral info is minimal and largely redundant with the name.

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?

A single, focused sentence that effectively front-loads the core purpose without any filler. It is appropriately sized for a no-parameter 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 description does not explain the output format, and there is no output schema to rely on. For a tool with siblings (like overview), it lacks context about what the returned data looks like or how it differs from a general overview, leaving a notable gap.

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 an empty schema, so there is nothing to explain. The description appropriately avoids parameter details. Baseline 4 for a zero-parameter tool.

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 provides an overview of connectors, including 175+ pre-built ones and types you can build. The verb (list/overview) and resource (connectors) are specific, and it distinguishes itself from siblings like connect_client or get_started by focusing on connector inventory.

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 guidance is given on when to use this tool versus alternatives. It doesn't mention scenarios (e.g., 'use this before connecting to see available connectors') or exclude cases like get_started/overview. The description is purely declarative with no usage context.

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 present, so the description carries the burden. It describes content but does not explicitly state behavioral traits such as being read-only or side-effect-free. It also does not mention response format or any limitations.

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 communicates the essential purpose and scope. It is front-loaded and contains no filler.

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 tool, the description gives a reasonable overview but lacks details about the expected output or any operational context. It could be more complete by clarifying what the response contains.

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, which earns a baseline of 4. The schema is empty, and the description adds no parameter details because there are none to document.

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 provides: an overview of AnythingMCP, the demo endpoint, and learning resources. It is distinct from sibling tools like connect_client or list_connectors, though it lacks an explicit action verb.

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 on when to use this tool versus alternatives. The purpose implies usage for getting an overview, but there is no statement about when not to use it or comparison to siblings.

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