SwiftPrism

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this call mutates nothing. The description adds real context beyond that: the payment occurs on a Stripe page with card/Apple Pay/Link, and 'Agents never enter card details' draws a clear safety boundary. It stops short of stating auth or expiry characteristics of the link.

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?

Three short sentences, each earning its place: what it returns, what happens next at the payment step, and which sibling to prefer. The return value is front-loaded and the routing advice closes it.

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?

No output schema exists, and the description compensates by stating the return is a link and explaining the downstream payment flow. Safety behavior is covered for a read-only tool. Coverage is nearly complete; only link lifetime/expiry behavior is unaddressed, which is minor.

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?

One optional parameter with a two-value enum and 100% schema description coverage, so the schema fully documents it. The description's mention of 'monthly or yearly' echoes the enum but adds no format or default nuance beyond 'Default month' already in the schema. 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?

States a specific verb and resource — returns the payment link for Elite — and scopes it to monthly or yearly billing. It explicitly distinguishes itself from the sibling start_trial, so an agent can route correctly without opening the schema.

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?

Gives explicit routing guidance: 'Most people should start with start_trial instead.' That names the alternative and the default path. It also clarifies the human-in-the-loop condition (payment happens after the person signs in).

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, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds scope worth knowing -- it covers both Elite and Free tiers and explicitly includes what SwiftPrism does *not* do -- but it says nothing about the return shape or whether the content is static marketing copy versus live entitlement data.

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?

It is a single sentence, which is efficient, but it spends most of its length enumerating feature names ('studio Headline Voice, Market Momentum, Deep Insights, Economic Calendar, holdings, reading languages') that are really payload detail an agent will see in the response. The genuinely useful clause -- that it also describes what the product does not do -- is tacked on at the end rather than 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 zero-parameter, read-only informational tool with no output schema, the description is nearly complete: tier coverage, topic coverage, and the negative scope are all conveyed. What is missing is only a hint about the form of the result, which is a minor omission at this complexity level.

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; the baseline for a parameterless tool applies. No misleading or missing parameter information 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?

The description states the resource clearly: a feature-inclusion summary covering 'real-time US stock and world economic headlines, studio Headline Voice, Market Momentum, Deep Insights, Economic Calendar, holdings, reading languages.' It is distinguishable from get_plans and get_languages, but it lacks an explicit verb and never names those siblings, so an agent must infer it is an informational read rather than a pricing or locale lookup.

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 guidance, no prerequisites, and no mention of alternatives such as get_plans or start_trial. The agent gets content topics but no condition telling it when this tool is the right call over its four siblings.

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, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine scope context by enumerating the four content surfaces the languages apply to (headlines, Deep Insights, Economic Calendar, Headline Voice). It says nothing about the shape of the response or whether the list is static or entitlement-dependent.

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. The stacked 'read ... in, and hear ... in' construction is slightly convoluted, but the content is front-loaded and every clause carries information about the returned 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?

For a trivial zero-parameter read tool with annotations covering safety, the description is nearly sufficient. However, no output schema exists, so the burden of describing the return value falls on the description – it never says whether the result is a list of language codes, display names, or localized labels, which an agent would want before using the output.

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 baseline of 4 applies. There is no parameter surface for the description to clarify or fail to clarify.

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 concrete resource – the set of languages a SwiftPrism Elite member can consume headlines, Deep Insights, the Economic Calendar, and Headline Voice in. It is identifiable and clearly distinct from the transactional siblings (get_plans, create_checkout_link, start_trial). It lacks an explicit verb ("List"/"Get"), reading as a noun phrase, which keeps it 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 statement of when to call this tool, no prerequisite, and no reference to any alternative. Usage is only implied by the content of the sentence – an agent must infer that this answers 'which languages are supported?' rather than being told.

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, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds useful provenance ('generated from the live price catalog'), implying freshness, but says nothing about caching, volatility of prices, or how results are shaped.

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, no waste, with the core payload (plans and prices) front-loaded before the supporting detail about the trial and the catalog source.

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 lookup with no output schema, the description covers the key content dimensions an agent needs: plans, prices, country variation, and trial terms. Only the exact result shape is left implicit, which is acceptable 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?

Zero parameters, so the baseline is 4. The phrase 'by country' usefully signals that country variation is handled internally rather than through an input, which prevents an agent from hunting for a nonexistent country argument.

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 (SwiftPrism plans and prices, free trial terms) and adds scope detail ('by country') plus the concrete plan lineup (Elite, Free). It is clearly distinct from get_features/get_languages/start_trial in substance, though it never explicitly says so.

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. It does not say to call this before create_checkout_link or start_trial, nor does it point to any alternative for related information — the agent must infer the role from the name alone.

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?

Goes well beyond the annotations (readOnlyHint, destructiveHint=false) by delimiting side effects precisely: it does not create an account and does not send email, the person completes account creation and Terms acceptance, and no payment method is involved. That is exactly the boundary detail an agent needs before calling a link-generating tool.

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?

Four short, front-loaded sentences leading with the return value, then scope constraints. No filler or repetition; each sentence contributes a distinct fact.

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 output schema, the description correctly describes the return value (a link). Safety is covered by annotations, and the side-effect boundaries are spelled out, leaving nothing material missing for a 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?

Only one optional parameter (reading_language) and its schema description is complete, so the schema carries the semantics. The description adds nothing about language handling, which is acceptable at 100% schema coverage but adds no extra value.

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 and resource: it returns the link a person opens to start the free Elite trial. The 'No card is needed' and 'does not create an account or send email' lines implicitly contrast it with a paid checkout flow, but the nearest sibling (create_checkout_link) is never named, so sibling differentiation is left to inference.

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?

Gives clear context for use: the free Elite trial, self-service signup, no card required, the person accepts Terms themselves. It does not name an alternative tool or state an explicit when-not condition, so the routing against create_checkout_link must still be inferred.

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