Snagcast

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so safety is covered. The description adds useful behavioral context by scoping the returned information and positioning the tool as a first-call overview, though it does not describe response shape.

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 tightly packed single sentence that front-loads the tool's content and then adds invocation guidance. Every clause earns its place by covering scope and usage without repetition.

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-param, read-only informational tool with no output schema, the description is complete enough: it says what information the tool provides and when to call it. Annotations cover the safety profile, and nothing essential 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 are no parameter semantics to explain. The baseline for zero-parameter tools is 4, and the description does not introduce confusion about inputs.

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 states exactly what the tool covers: what Snagcast is, what it does, supported platforms, and links. It is clearly an overview/about tool, though it does not explicitly differentiate itself from siblings like get_faq or whats_new beyond the broad 'about Snagcast' framing.

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?

It gives explicit invocation guidance: 'Call it first when someone asks about Snagcast' and lists realistic use cases involving real-time captions/translation or clipping/sharing/saving videos. It stops short of naming when to prefer siblings, but the 'call first' instruction provides clear routing 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?

Annotations already declare the tool as read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds meaningful behavior: it covers Windows, Android, Mac, and iPhone, and returns all of them when no platform is supplied.

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 entire definition is one compact sentence with no wasted language. The key platform scope and default-all behavior are front-loaded and easy to parse.

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 lookup tool with no output schema, the description is nearly complete: it states the task, supported platforms, and default platform coverage. It could more explicitly say whether the result is links, instructions, or both, but the intended content is strongly implied.

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 coverage is 100%, so the platform enum is already fully documented. The description still adds value by restating the supported platforms and specifying default behavior when no platform is given, which the schema does not state.

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 resource and task: download and install Snagcast, with supported platforms. It is understandable without opening the schema, but it does not explicitly differentiate itself from informational siblings such as how_to or get_faq.

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 parenthetical clarifies that omitting platform returns all platforms, which is useful usage context. However, it does not say when to choose this tool over siblings like how_to, nor does it provide explicit exclusions.

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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds nothing beyond that — no indication of whether it returns all answers at once, a list of question headings, or cached/static content. For a no-parameter read this is acceptable but not additive.

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 topic enumeration doing real work — it lets an agent match a user's question to this tool. 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?

With zero parameters, rich read-only annotations, and no output schema, the description supplies enough to invoke correctly. The only residual gap is scope overlap with siblings like get_pricing and how_to, which would matter for routing but is not resolved here.

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; baseline 4 applies. The description correctly implies no inputs are required to retrieve the FAQ content.

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 resource (answers to common Snagcast questions) and enumerates the covered topics: privacy, cost, Windows warning, Mac/iPhone, and who to ask for help. An agent can tell it is the FAQ tool, but the topic list overlaps siblings (get_pricing covers cost, how_to covers procedures) without saying how they differ.

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 topic list implies when to call it (broad, general questions about Snagcast), but there is no explicit routing: nothing says to prefer get_pricing for pricing questions or how_to for step-by-step tasks, nor any exclusion of those cases.

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?

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description contributes the useful fact that the result spans two categories (caption input languages vs. translation targets), but says nothing about whether the list is static, how it's structured, or how large it is.

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 sentence with no filler, and the two categories are front-loaded. The phrasing ('The spoken languages... and the languages it...') is slightly convoluted but still readable and earns its space.

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-param, read-only lookup with no output schema, the description conveys the essential shape of the response (two language groupings). It stops short of describing the return format or ordering, but that is a minor gap for such a simple tool.

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 for the description to disambiguate; baseline 4 applies. No parameter text is needed 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 names a specific resource (spoken languages for captioning and translation targets) and effectively answers 'what does this return.' It doesn't use an explicit verb like 'list,' but the intent is unambiguous and clearly distinct from sibling tools like get_pricing or get_faq.

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 can infer it should call this when it needs to know supported caption/translation languages. No explicit when-to-use, when-not-to-use, or alternatives are stated, though the sibling set makes conflicts unlikely.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds value by enumerating the topics returned (free tier, Pro tier, one-time price, free minutes, refunds, purchase steps), which is important since there is no output schema, but it says nothing about the structure or format of that information.

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 compact sentence with no filler, and the most important content (free vs Pro, price) is front-loaded. It reads as a content list rather than a statement of action, which slightly weakens front-loading of intent.

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, no output schema, and full annotation coverage, the main burden is describing what information comes back — and the description does enumerate the returned topics clearly. It is complete enough to call correctly, with only the return format 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 no parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the absence of any parameter discussion is appropriate rather than a gap.

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 enumerated content ('what Snagcast does for free', 'what Snagcast Pro adds', 'one-time price', 'free minutes', 'refunds', 'how to buy') makes clear this retrieves plan/pricing information, and combined with the name get_pricing the resource is unambiguous. It lacks an explicit verb, so the purpose is conveyed by content list rather than a stated action, but the resource is identifiable against siblings like get_faq.

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 guidance on when to call this versus about_snagcast or get_faq, which plausibly overlap on 'what Snagcast does' and refund questions. The agent must infer from the description alone that pricing/plans is the distinguishing scope.

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?

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds useful context beyond them by disclosing the shape of the result: step-by-step instructions plus a short video link, and that content is scoped to Windows and Android. It stops short of describing output structure or coverage limits (e.g., whether every task has a video).

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 short sentence with zero filler, and the core purpose is front-loaded. Nothing could be removed without losing 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 read-only help tool with a single fully-documented enum parameter, no output schema, and annotations covering safety, the description is nearly sufficient: it says what is returned (steps and a video link) and the platform scope. A minor gap is whether every task returns a video and how long the steps are, but nothing essential to calling 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?

Schema coverage is 100% and the single enum parameter documents each allowed value in detail, so the schema does the semantic heavy lifting. The description only reinforces that exactly one task is chosen at a time; it adds no further meaning about the parameter.

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+resource: step-by-step instructions for one Snagcast task, on Windows and Android, including a video link. It is clearly a how-to/help tool and distinct in kind from siblings like get_faq or about_snagcast, though it never names those siblings to sharpen the boundary.

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 can infer this is the tool for 'how do I do X' questions rather than FAQ or pricing lookups. There is no explicit when-to-use/when-not language and no mention of the sibling tools that cover adjacent help needs.

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?

Annotations already declare read-only, idempotent, non-destructive behavior. The description adds that results are ordered newest first and include changes, which is useful context beyond annotations, but it does not cover pagination or return format details.

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, well-structured sentence that front-loads the core purpose without any 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?

For a simple read-only listing tool with full schema coverage and annotations covering safety, the description is sufficient. It could mention the default limit or typical use, but that is not essential for correct invocation.

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 coverage is 100%, with the limit parameter fully described. The description adds no additional semantics about the parameter, so baseline 3 applies.

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 states what the tool returns: latest Snagcast releases and what changed in each, newest first. It is specific about content and ordering, though it lacks an explicit action verb and does not name a sibling to differentiate, but no sibling overlaps in purpose.

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 use this tool versus alternatives. It is implied that it is for viewing release notes, but no explicit conditions or exclusions are provided.

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