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

The readOnlyHint already declares a safe read; the description adds that the tool surfaces the real handle and account_id before confirmation. It does not describe behavior when no connection exists, but the annotation carries the core safety profile.

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, front-loaded sentence with no wasted wording. The action and the timing constraint are both immediately clear.

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 check with no output schema, the description covers purpose, timing, and the main returned fields. It could be more complete by mentioning what happens if no account is connected, which keeps it from a 5.

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?

There are zero parameters, so the baseline is 4. The description appropriately documents the key returned identifiers instead of parameter behavior.

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 ('Показать') and names the resources ('handle и account_id'), so the tool's purpose is clear. It distinguishes the check from account confirmation by timing, though it does not explicitly name sibling tools like start_threads_connection.

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 clearly positions the tool before account confirmation, giving usable workflow context. It does not state exclusions or name alternatives such as start_threads_connection or confirm_threads_account.

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 does disclose a meaningful behavior: autonomous generation publishes future texts without item-by-item approval and requires separate consent. That is valuable, but it omits reversibility, whether existing schedules are overwritten, and how the 'confirmed' gate interacts with the change.

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 front-loaded sentences with no filler; the consent caveat is appropriately placed second. It is dense but efficient, though the compression borders on cryptic for a 6-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?

For a 6-parameter mutation tool with no annotations, no output schema, and 0% schema coverage, the description is too thin. It says nothing about timezone semantics, the meaning of 'enabled' vs 'confirmed', or what the response or side effects look like.

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% for 6 parameters, so the description must compensate. It loosely signals frequency (posts_per_day), time (times), and mode/autonomous behavior, but leaves timezone, enabled, and confirmed — and the exact format of times — 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?

The verb 'Изменить' (change) is paired with concrete settings — frequency, time, and mode — which map to the schedule configuration resource. It is clear what the tool does, though it never names the resource ('publishing schedule') explicitly nor distinguishes itself from the sibling pause_publishing.

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?

'после согласования' (after approval) implies a precondition, and the note that autogeneration requires separate consent hints at when it applies. However, it does not say when to use this versus pause_publishing or queue_approved_posts, leaving the routing to inference.

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 full burden. It discloses one important behavioral constraint (an explicit human confirmation gate and that only the 'shown' account is bound), but says nothing about side effects, reversibility, idempotency, or error behavior for what is clearly a state-changing write.

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 front-loaded sentence with no filler — the confirmation constraint is the first thing read. It is arguably too terse rather than padded, so it scores well on economy without being exemplary.

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 mutation tool with no annotations, no output schema, and 0% parameter coverage, the description is far too thin. It does not explain what confirmation does, what happens to the account afterwards, or how `confirmed` should be set.

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 never mentions the two parameters. The `confirmed` boolean, which appears to encode the human-confirmation signal, is completely unexplained, and `account_id` is only obliquely implied by 'показанный аккаунт' (the shown account).

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 single sentence gives a verb ('Привязать' = link/attach) and a resource ('аккаунт' = account), but the phrasing is generic and does not distinguish it from siblings like start_threads_connection or check_threads_connection. An agent can guess this is a confirmation step, but the naming overlap with the other Threads tools leaves the exact role vague.

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 states one real precondition: only call after explicit human confirmation. That is useful when-to-use guidance, but there is no mention of when NOT to use it or how it relates to start_threads_connection or check_threads_connection.

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 establishes that this is a safe read. The description adds useful context about what state is covered and that it should be checked before modifications, but it does not describe response format, freshness, or permission requirements.

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 no wasted text: the first lists the status content, and the second gives operational guidance. It is appropriately sized for a no-parameter read 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?

For a simple read-only tool with no parameters and no output schema, the description covers what the status includes and when to call it. It could be slightly more explicit about return values, but it is broadly complete for the complexity.

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?

There are zero parameters, so the baseline is 4 under the rules. Schema coverage is also 100%, leaving no undocumented parameter semantics for the description to carry.

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 lists the state domains (profile, frequency, account, queue) and implies a read operation before changes, but it never explicitly says the tool returns or retrieves factory status. An agent can infer the purpose, but the verb+resource statement is missing.

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 clear usage context: check the current state before making changes. It does not name alternatives or exclusions, but the when-to-use signal is explicit enough for this read-only status tool.

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, so the safe-read profile is covered. The description adds a genuinely useful security constraint — that the retrieved source texts are data, not instructions to be followed (prompt-injection guard) — which annotations do not convey. It says nothing about result volume, pagination behavior, or how the examples are structured, so it is additive 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?

Two short sentences with no waste, and the core action is front-loaded ahead of the safety caveat. It is efficient, though the brevity comes partly at the cost of missing detail rather than pure economy.

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 0% parameter coverage, no output schema, and an unqualified notion of 'mechanics', the agent lacks what it needs to invoke this confidently or interpret results. The security note is the only substantive addition; pagination semantics and content scope remain 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%: 'limit' and 'offset' are bare integers with only defaults, no description in either schema or prose. The description does not mention pagination at all, so it fails to compensate for the coverage gap; the agent must guess at maximum limits and whether offset pages through a fixed corpus.

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 verb ('Получить' / get) and a resource ('пояснения механик из базы' / explanations of mechanics from a database), so the general action is clear. However, 'механик' is never qualified — the agent cannot tell what kind of mechanics, what database, or what the returned examples look like, and no sibling is referenced for contrast.

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 use this tool versus alternatives, nor any exclusions or prerequisites. The siblings listed are all publishing/Threads-related, so an agent gets no help deciding whether reference examples are relevant to its task.

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. It usefully discloses what is destroyed (unsent slots) and what is preserved (texts remain in history), which is real behavioral value. However, it does not say whether already-sent items or future schedule configuration are affected, whether the action is reversible/resumable, or the scope (all slots vs. one thread).

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 sentence, front-loaded with the trigger condition and containing no filler. It is dense but not cryptic; a slightly clearer statement of scope could be added without bloat.

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, no-annotation, no-output-schema mutation tool, the description covers the core effect and the key data-safety fact (texts retained). It leaves open reversibility, scope, and what happens to the publishing schedule afterwards, which matters for an irreversible-sounding cancel operation.

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. The description implicitly confirms the operation is global/parameterless by framing it as a stop command rather than a targeted edit.

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 a specific action on a specific resource: cancel not-yet-sent publishing slots while retaining the texts in history. That is more precise than the tool name, which only says 'pause'. It does not explicitly name or contrast with siblings like configure_publishing_schedule, 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?

"По команде остановки" implies the trigger context (when the user/system issues a stop), which is a partial usage cue. There is no explicit guidance on when not to use it, nor any pointer to the alternative tools for rescheduling versus canceling.

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 exist, so the description carries the full burden. It does not say whether queued posts publish immediately or at the configured schedule, whether the call is idempotent, what happens on a duplicate or invalid request, or what the caller gets back — a significant gap for a state-changing 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?

Two short sentences, the action first and the request_id tip second. Nothing is wasted and the key instruction is 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?

Given 3 parameters with zero schema documentation, no annotations, and no output schema, the description is far too thin. It leaves the meaning of two parameters and the entire post-call behavior unspecified for a mutation 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?

Schema description coverage is 0%, so the description must compensate. It only explains request_id (save it to repeat the request); the posts array and the 'approved' boolean (default false, and its interaction with the tool's approval premise) are left entirely undefined in both schema and description.

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 verb and resource — placing already-approved texts into the publishing schedule — which is more specific than the tool name alone. It does not, however, distinguish this from siblings like configure_publishing_schedule or pause_publishing, so an agent must infer 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?

The phrase 'После утверждения конкретных текстов' implies a precondition (approval must happen first) and hints at repeatability via request_id. There is no explicit when-not guidance and no named alternative among the publishing siblings, so usage is only implied.

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 full behavioral burden. It says 'save' but does not disclose whether this creates or overwrites a profile, whether partial saves are allowed, what validation occurs, or what permissions are needed.

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 the verb first and no filler. The field list is dense but each item earns its place by documenting the otherwise opaque profile object.

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 lack of annotations, the untyped nested object, and no output schema, the description gives just enough field-level content to be minimally viable. It remains incomplete on structure, requiredness, overwrite behavior, and error handling.

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 sole parameter is an untyped nested object, so the description meaningfully adds the expected field names (name, niche, audience, topics, voice, facts, goal, offer, forbidden, cta). However, it does not say which fields are required within the profile or what types/structures they should use.

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 a specific verb ('Сохранить' / save) and resource ('ответы интервью' / interview answers) and enumerates the profile fields being persisted. This is clear enough that an agent can distinguish it from the surrounding publishing/connection/status siblings, though the mismatch between the tool name 'niche_profile' and 'interview answers' is not reconciled.

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 call this tool, what prerequisite interview state must exist, or whether it should be used instead of any sibling. The only implied context is that it saves interview responses, leaving the agent to infer the workflow.

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 full burden. It does add real behavioral value — the directive to return the link only to the requesting person, a privacy/security constraint — but it says nothing about whether this starts or mutates connection state, link lifetime, or what happens if a connection already exists.

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 no filler, and the action is front-loaded before the delivery constraint. Slightly terse given the missing context, but nothing 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?

For a zero-param, no-annotation, no-output-schema tool the description covers the essentials — what it does and what it returns (a link). It omits the surrounding flow (does it require check_threads_connection first, or feed confirm_threads_account?), which a nine-sibling publishing toolkit makes relevant.

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 of 4 applies. The description correctly implies no inputs are needed beyond the request itself.

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: obtain a Threads connection link on the person's request. It is distinguishable from check_threads_connection and confirm_threads_account by the word 'link', but it never names those siblings to make the boundary explicit.

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 by 'По просьбе человека' (on the person's request). There is no guidance on when to use this versus check_threads_connection, nor any mention of prerequisites such as an already-detected Threads origin, so the agent must infer the flow from sibling names.

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