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

With no annotations, the description carries the behavioral burden; 'Check' suggests a non-mutating diagnostic action, which is useful. However, it does not disclose whether the command makes external/provider calls, modifies anything, or what 'readiness' entails, leaving room for assumptions.

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 an eight-word, front-loaded sentence with no filler or repetition. Every word contributes to defining the tool's scope.

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 tool is low-complexity (one optional parameter) and has an output schema, so return-value details are not required in the description. Still, the description leaves the meaning of 'provider readiness' and the role of workspace_path implicit, and it does not distinguish when to use doctor versus the sibling tools.

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 description coverage is 0% and the description does not mention workspace_path at all. The parameter's name and optional default make it partly self-explanatory, but the description adds no meaning such as 'checks the specified workspace instead of the current one.'

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 uses a clear verb ('Check') with a specific resource ('local mcpforge prerequisites and provider readiness'), so an agent can see this is a diagnostic tool. It does not explicitly differentiate from the sibling 'validate', which may also sound like a checking operation, so it falls short of a 5.

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 phrasing implies the tool is used when the agent needs to verify that prerequisites are in place and providers are ready, but it gives no explicit when-to-use guidance, no exclusions, and no alternative routing among siblings such as validate or inspect.

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 full burden of behavioral disclosure. It does reveal the return dict keys, which is helpful, but it fails to state side effects such as writing files, executing code, or running tests, despite the schema strongly suggesting these behaviors exist.

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 compact and front-loaded: the first sentence states the core purpose, and the second gives the return shape. There is no filler or redundant phrasing, so every sentence earns its place.

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 tool with 14 parameters, no annotations, and a sibling family that supports a broader workflow, this description is incomplete. It does not mention how generation relates to plan or validate, does not explain the safety/execution implications, and leaves optional configurations undocumented.

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 description coverage is 0%, so the description must compensate for 14 parameters, but it only clarifies the required description parameter by calling it 'plain-English description'. All other parameters—strict, dry_run, transport, multi_file, output_path, auth_profile, etc.—are left entirely unexplained.

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?

States a specific action ('Generate') and a concrete resource ('a complete FastMCP 3.x server') from a well-defined input ('a plain-English description'). This clearly differentiates it from siblings like validate, update, and inspect, which all imply different operations.

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 used when you have a plain-English description and want a generated server, but it gives no explicit when-to-use instructions or comparisons to alternatives. It does not mention plan, validate, inspect, or update, nor does it explain when to use dry_run, no_execute, or template modes.

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 the behavioral burden. 'Without executing it' is a useful disclosure that the operation does not run the server, but it does not state whether the tool modifies anything, whether the server must already exist, or what happens on failure. It is adequate but thin.

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 sentence with no filler; the key action and the central non-execution constraint are both present. It is appropriately compact, though other dimensions would benefit from more content.

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?

Even though the tool is simple and has an output schema, the description does not address prerequisites, when to prefer this over validate or doctor, or what 'inspect' actually covers. It is incomplete for an agent choosing among the sibling tools.

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 has 0% description coverage and the description never directly mentions server_path. It only indirectly clarifies that the path should point to a generated server, which is partial but insufficient compensation for the missing parameter documentation.

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 action ('Inspect') and a resource ('a generated server'), and adds a meaningful distinguishing constraint ('without executing it') that separates it from running the server. However, it does not differentiate from overlapping siblings like validate or doctor, so it stops short of a 5.

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 sibling tools. The phrase 'without executing it' implies a non-execution context, but no alternatives are named and no exclusion criteria are provided, leaving the agent to infer usage from tool names.

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 behavioral burden. It accurately indicates a read-only listing operation, which implies no side effects. However, it does not disclose behavior around the recursive default, how workspace_path is interpreted, or whether any filtering occurs.

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 redundant wording. It is efficient and easy to parse, though it sacrifices useful context for brevity.

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 tool with two optional parameters, zero schema descriptions, and no annotations, the description is too thin. It does not clarify the recursive parameter, the meaning of default workspace_path, or the structure of the returned list. The presence of an output schema helps but does not compensate for the missing operational semantics.

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 description coverage is 0%, and the description does not explain either parameter. 'recursive' and 'workspace_path' are left entirely to the agent to infer from their names and defaults. The phrase 'in a workspace' loosely maps to workspace_path, but it is not a meaningful semantic explanation.

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 uses a specific verb ('List') and resource ('generated mcpforge servers') with a clear scope ('in a workspace'). This distinguishes it from sibling tools like generate, update, validate, plan, inspect, and doctor, which all indicate different actions.

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 intended use is implied: call this tool when you want to see generated servers in a workspace. However, there is no explicit guidance on when to use it versus alternatives, no exclusions, and no mention of prerequisites such as what workspace_path should be.

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 the full burden and it does disclose the key behavioral trait: this tool does not generate code. It also specifies the exact return shape, so an agent knows the observable result. It does not claim any hidden mutation or side effect, and 'Extract' aligns with a read-only semantic.

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 compact sentences with the main purpose front-loaded and no filler. The second sentence provides concrete return information that directly supports correct invocation.

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 planning tool the core behavior and return shape are covered, and an output schema exists. However, the absence of parameter semantics and any pointer to when this tool belongs in the workflow leaves the surrounding context incomplete.

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 description coverage is 0%, so the description needed to compensate for the four parameters, but it does not explain model, provider, transport, or the required description field. The only parameter-related word is 'transport' in the return shape, which is not input semantics. The agent must guess what values or formats are acceptable.

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 action ('Extract') and resource ('structured server plan'), and immediately disambiguates from the sibling 'generate' by adding 'without generating code.' The return-key enumeration reinforces exactly what the tool produces.

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 phrase 'without generating code' implies this tool is for inspecting a plan rather than producing a server, which indirectly points away from 'generate.' However, it never states when to use it versus siblings like update, validate, or doctor, nor does it give a when-not-to-use condition.

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 must disclose behavioral consequences itself. It states the return dict keys but does not reveal side effects such as whether files are overwritten, whether tests are actually executed, whether changes are reversible, or what happens on validation failure. The mutating nature is implied but not elaborated.

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 with no filler. The core purpose is front-loaded, and the return contract is stated clearly. Every sentence earns its place.

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 that this is a mutating operation with no annotations, 0% schema coverage, and a set of overlapping sibling tools, the description is too thin. It covers purpose and return shape but omits usage guidance, side effects, and parameter semantics, making it insufficient for an agent to invoke it with full confidence.

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 description coverage is 0%, so the description should compensate by explaining the parameters. It only indirectly alludes to server_path ('existing MCP server') and request ('modification request'), but gives no meaning for model or provider, their defaults, or the relationship between them. The agent must rely on the schema defaults without semantic context.

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 uses a specific verb ('Apply') and resource ('an existing MCP server'), and clarifies the input is a natural-language modification request. This clearly distinguishes the tool from siblings like generate, validate, and inspect by emphasizing modification of an existing server.

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 provides no explicit guidance on when to use this tool versus alternatives such as generate, plan, or doctor. The word 'existing' weakly implies this is not for creation, but there is no exclusionary language or mention of prerequisites like planning or validating first, leaving the agent to infer usage.

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 behavioral burden. It does disclose that the operation returns detailed validation results and implies a non-creating action by targeting an existing server, but it doesn't state whether validation has side effects, starts the server, or requires special access.

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, front-loaded with the action and immediately followed by the output. No filler or redundancy.

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 single-parameter tool with an output schema, this is nearly adequate, but the lack of usage guidance and the absence of annotation-driven safety context leave the agent without enough information to know when this is the right tool or whether any side effects are possible.

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 has no description for 'server_path' (0% coverage), and the description does not explicitly define what kind of path is expected (directory, executable, config file, etc.). The tool name and 'existing MCP server' make the parameter partially inferable, but the description doesn't add enough meaning to compensate for the missing schema documentation.

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 uses a specific verb ('Validate') with a resource ('an existing MCP server') and states an outcome ('Returns detailed validation results'). It is clear about the tool's basic job, but it doesn't explicitly distinguish validation from neighboring diagnostic tools such as 'doctor' or 'inspect'.

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 about when to choose 'validate' over sibling tools like 'doctor', 'inspect', or 'plan'. The phrase 'existing MCP server' hints at a use case, but there is no explicit context, prerequisites, or exclusions.

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