NoCapMocap Public MCP

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

Annotations already declare readOnlyHint=true, so the safe read nature is covered structurally. The description adds that the returned values are public URLs (i.e., a static, non-mutating lookup), but says nothing about whether the list is fixed, whether it requires network access, or how many links are returned.

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 front-loaded sentence with no filler; every word contributes to identifying the resource returned.

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 no-parameter, read-only lookup with annotations covering the safety profile and no output schema, the description is essentially sufficient. A brief note on the returned link set (count or categories) would close the remaining gap, but nothing needed to invoke it correctly is missing.

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 takes zero parameters, so there is nothing to document beyond what the schema shows; baseline 4 applies. The description correctly implies no inputs are needed to obtain the discovery URLs.

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 verb ('Return') and a specific resource ('main public API discovery and documentation URLs for NoCapMocap'). This is clearly separable from siblings such as get-api-examples and get-export-formats, which return different artifacts.

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 indication of when this tool should be used versus the sibling discovery tools (get-site-summary, get-api-examples), and no mention of prerequisites or ordering. Usage as an entry point for API onboarding is only implied by the word 'discovery'.

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?

readOnlyHint=true already tells the agent this is a safe read. "Examples use placeholders and do not execute actions" largely restates that safety profile, though it does usefully clarify the return content is illustrative rather than actionable. No detail on response size, formatting, or what a returned example looks like.

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 zero waste; the operation and its non-executing nature are both front-loaded.

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 one-parameter documentation-lookup tool with annotations covering safety, the description covers what it does and that examples are inert. Without an output schema, a brief hint about the returned example structure would make it fully self-contained.

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 single workflow parameter has 100% schema description coverage plus an enum, so the schema fully documents it. The description adds no syntax, default, or selection guidance beyond the schema baseline.

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 verb ("Return") and resource ("public documentation examples") scoped to NoCapMocap API workflows, and clarifies the nature of the content via "placeholders." It does not explicitly differentiate from the closest sibling, get-api-discovery, 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?

"for selected NoCapMocap API workflows" implies the context but gives no explicit when-to-use or when-not-to-use guidance, and never names get-api-discovery or get-generation-capabilities as alternatives. Usage is inferable from the enum of workflows rather than stated.

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?

readOnlyHint=true already declares this as a safe read, so the bar is lower. The description adds a useful scope boundary (no private assets, no signed URLs), which tells the agent it cannot use this to fetch download links, but it says nothing about pagination, filtering, or the shape of the response.

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 front-loaded sentence that leads with the verb and resource. The parenthetical about the NoCapMocap plugin and Studio workflow is somewhat promotional and dense, but it is bounded and does not bury the core 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?

With no parameters and no output schema, the description carries the burden of hinting at return content, and it does so by naming the export targets an agent will see. The only gap is that it doesn't describe the response structure or ordering beyond the 'leading with Roblox R15' hint.

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 takes zero parameters, so per the rubric the baseline is 4. The description correctly implies a parameterless catalog call and introduces no parameter semantics that could conflict with the empty schema.

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 gives a specific verb ('List') and resource ('public animation export targets') and names concrete output values (Roblox R15, humanoid FBX), so the agent knows exactly what comes back. It does not explicitly contrast itself with siblings like get-generation-capabilities, 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?

Usage is implied — call this to discover available export targets — but there is no explicit when-to-use/when-not guidance or named alternative among the sibling discovery tools. The only exclusion ('without returning private user assets or signed URLs') scopes output rather than routing the agent.

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?

readOnlyHint=true already tells the agent this is a safe, side-effect-free read, so the description's job is lighter. It adds value by disclosing the scope of the returned content (limits, character targets, plugin, import paths), but says nothing about freshness, rate limits, or whether results are static documentation.

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 front-loaded sentence with the resource named first and the covered topics listed after. It is somewhat list-heavy but every clause maps to distinct returned content, so no sentence is wasted.

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?

With no parameters and no output schema, the description carries the burden of describing what comes back, and its topic enumeration (capabilities, request limits, character targets, plugin, import paths, workflow links) does that reasonably well. It is complete enough for an agent to know what this lookup yields.

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 takes zero parameters, which sets the baseline at 4. Nothing about argument semantics needs explaining, and the description introduces no parameter-like concepts that could confuse the caller.

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 verb (Explain) and resource (public Roblox R15 Text-to-Motion / Video-to-Motion generation capabilities), then enumerates the exact topics covered. This clearly separates it from sibling lookups like get-pricing or get-api-discovery, though it never names them explicitly.

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 on when to call this versus alternatives such as get-api-discovery or get-api-examples. Usage is only implied by the content list; an agent must infer that this is a static knowledge/overview lookup rather than a runtime capability probe.

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?

The readOnlyHint annotation already tells the agent this is a safe, non-mutating read. The description adds useful scope context by enumerating the three content categories returned, but says nothing about whether pricing is live or static, whether authentication is required for 'public' pricing, or any caching/freshness behavior.

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 front-loaded sentence listing the three content areas with no filler. 'Pricing semantics' is the one phrase that could be plainer, but the sentence is tight and well-ordered.

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 zero-parameter, read-only information tool with no output schema, the description covers the three distinct return categories an agent needs to decide relevance. It does not describe the response shape, but the low complexity of the tool makes that a minor 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 takes zero parameters, so the schema baseline of 4 applies. There is nothing for the description to clarify beyond confirming the tool is a no-argument lookup, which the empty schema already conveys.

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 pairs a specific verb ('Return') with a well-scoped resource set: public pricing, subscription plan credit allowances, and one-time credit pack details. An agent can tell this is the pricing/credits lookup and that no sibling (blog posts, export formats, generation capabilities) covers the same ground. The phrase 'pricing semantics' is slightly abstract, which keeps it just 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?

Usage is only implied: an agent infers it should call this when a user asks about cost, plans, or credits. There is no explicit statement of when to use it, no exclusions, and no named alternative — reasonable for a zero-parameter static-info tool, but no guidance is actually given.

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?

readOnlyHint=true already tells the agent this is a safe, non-mutating read, so the bar is lower. The description usefully signals the response is a curated summary rather than raw data and lists its coverage, but adds nothing about freshness, caching, or provenance. Adequate but not rich.

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?

One front-loaded sentence with no filler, and the key subject and scope arrive immediately. Slightly padded by product/brand naming ('NoCapMocap Motion Lab Roblox Studio plugin'), but that noun phrase is the content being summarized, so it 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?

With no parameters and no output schema, the description carries the burden of describing what comes back, and it does so by enumerating the four content areas. An agent can decide whether this overview covers its need; only the response's shape/format is left unspecified.

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 takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. No parameter semantics gap exists.

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 verb ('Return') and resource ('concise overview of NoCapMocap'), then enumerates the sub-topics covered: R15 animation generator, Motion Lab plugin, supported outputs, discovery links. This implicitly separates it from narrower siblings like get-pricing or get-export-formats, though it never names an alternative. Clear and specific, but sibling differentiation is only implied.

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 framing as a broad 'overview' suggests it is an orientation/entry-point tool that the specific siblings drill into, but the description states no explicit when-to-use, no when-not-to-use, and names no alternative. Usage must be inferred from the enumerated content.

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?

readOnlyHint=true already tells the agent this is a safe read, and the description adds value by enumerating the returned fields (titles, slugs, dates, public URLs). However, it does not disclose sort order, pagination, or behavior when no posts exist, which matters since there is no output schema.

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 front-loaded sentence with zero filler; the verb, resource, and returned fields all appear immediately.

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 one-parameter read tool with annotations covering safety, the description is nearly sufficient, and it compensates for the absent output schema by listing the return fields. The only gap is the unspecified sort order implied by 'recent'.

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 100%, with the limit parameter fully documented including default and min/max, so the schema carries the burden. The description only implies 'recent' ordering and adds no format or semantics beyond the schema, making 3 the correct baseline.

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 verb (List) and resource (blog posts) and names the fields returned, so the agent knows exactly what this yields. It does not explicitly distinguish itself from the get-* siblings, though the resource difference makes confusion unlikely.

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 when-to-use or when-not-to-use guidance and no named alternative. The word 'recent' hints at a time-ordered listing but the description never states the ordering or when an agent should prefer this over other discovery tools.

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