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

The description adds meaningful behavioral context beyond the annotations: it clarifies the scope (including drafts) and the return value (fragment). Given that readOnlyHint, idempotentHint, and destructiveHint are already present, the description's added detail is valuable and consistent.

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, compact sentence that immediately conveys the purpose. It fronts the action and scope, with no wasted words. Structure is 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 simple search tool with no output schema, the description covers key aspects: search targets, inclusion of drafts, and return of fragment. It does not detail search semantics (case sensitivity, pagination, etc.) but these are not essential for basic use. The description is sufficiently complete 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 description coverage is 0%, so the description must compensate for undocumented parameters. It does not mention 'text' or 'tip' explicitly. While it implies text search and mentions pages/articles (hinting at the enum), it fails to explain parameter meanings or usage. The description adds little beyond the schema 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?

The description clearly states the action (search), the resource (title, description, content of pages and articles, including drafts), and the return value (the found fragment). It is specific enough to distinguish from other tool names like 'listeaza' or 'citeste'. No ambiguity.

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 usage: search for text in content. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or alternative tools. Since no sibling tool serves a similar search function, the implied usage is acceptable but not explicit.

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, and destructiveHint, so the safety profile is covered. The description adds meaningful behavioral detail beyond those annotations by stating that the tool returns the whole element with HTML content exactly as saved, which clarifies output fidelity and the lack of transformation. This is useful context, though it does not cover authentication or error 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?

The description is a single concise sentence with no filler or repetition. It is appropriately sized for a simple read tool, though it could have added more value by including usage guidance. Still, every word earns its place and the output-relevant detail is front and center.

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 low complexity, the strong annotations, and the complete input schema, the description is mostly adequate. Since there is no output schema, the description's statement about returning the whole element with HTML content exactly as saved helps fill that gap. It could be more complete by mentioning typical edge cases, but nothing critical is missing for a simple read 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?

Schema description coverage is 100%, so the schema already thoroughly documents both `tip` and `slug`, including enums, patterns, and examples. The description adds no parameter-specific guidance, so it does not improve on the schema. A baseline of 3 is appropriate because the schema carries the full semantic load.

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 title 'Citește o pagină sau un articol' clearly names the action (read) and the resource (page or article), and the schema's `tip` enum reinforces the page/article distinction. However, the description itself ('Tot elementul, cu conținutul HTML, exact cum e salvat.') describes the output rather than explicitly distinguishing this tool from siblings such as previzualizeaza or listeaza, 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 description gives no guidance on when to use this tool instead of alternatives. It does not mention that previzualizeaza, cauta, or listeaza should be used for other cases, and there are no exclusions or prerequisites. The only usable context comes implicitly from the schema parameters `tip` and `slug`, not from the description.

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 mark the tool as read-only, idempotent, and non-destructive. The description adds useful behavioral detail by stating that it returns the latest journal entries and performs a chain verification, with 'intact' meaning no row was modified or removed. This goes beyond the annotation hints.

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 states the core function and then the expected output detail. There is no filler or redundancy; every part of the description 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 output schema, the description properly explains the response shape (entry fields and chain status), which is sufficient for a read-only tool with two optional parameters. It does not state default limits or sorting, but those are covered by the parameter schema and defaults.

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 documents both parameters, with a description for 'doar_probleme' and types/defaults for both. The description says 'ultimele intrări' which aligns with the 'ultimele' parameter, but it does not explicitly map parameters or mention the 'doar_probleme' filter. With 50% schema coverage, the description only partially compensates for the missing parameter 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 names a specific resource (jurnal) and a specific verb (citește), and also lists what the entries contain and the chain verification result. This clearly distinguishes it from generic siblings like 'citeste' and 'cauta', which target other resources.

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 tool's purpose is implied by the resource name and description, but there is no explicit statement about when to use this tool versus siblings such as 'citeste' or 'listeaza'. No alternatives, exclusions, or conditions are provided, so the agent must infer the usage 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?

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to restate safety. It adds useful behavioral context by specifying that the tool also reports what rights the current key has and what content rules apply, which helps the agent plan subsequent calls.

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 information-dense sentence with no filler, and the imperative 'Cheam-o prima' is a useful directive. It is compact, though the list is long and the call-order instruction appears at the end rather than being 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, idempotent tool, the description covers the essential returned content and usage order. It does not describe output format or error behavior, but with no output schema and a simple informational purpose, the provided details are sufficient for an agent to use it correctly.

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 has zero parameters and the schema coverage is effectively 100%, so there is little to explain. The description still adds meaning by indicating the kinds of site-wide facts returned, but it does not explicitly mention that no arguments are required; the empty schema already covers that.

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 communicates what information the tool provides: site identity, description, address, page/article counts, allowed HTML, URL formation, and key permissions. It lacks an explicit operative verb like 'returns' or 'gets', and it does not contrast itself with read siblings such as 'citeste' or 'listeaza', 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?

'Cheam-o prima' explicitly tells the agent to call this tool before others, which is strong usage guidance for a bootstrap/discovery tool. It does not spell out when not to use it or name alternatives, but the first-call instruction gives clear 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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds useful behavioral context beyond those annotations: it lists the export scope and explicitly notes that images are downloaded separately from their addresses, which is not inferable from the structured fields.

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 purpose ('All content, for a backup') and then enumerates the included items without redundancy. Every phrase 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 parameterless, read-only export operation, the description is essentially complete: it states purpose, content scope, and the separate handling of images. It does not describe the output format or delivery mechanism, but no output schema exists and the absence of parameters lowers the burden.

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 has zero parameters and schema description coverage is 100%, so the schema leaves no gaps. The description does not need to explain parameters; it correctly focuses on what the export contains.

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 ('Exportă') and resource ('tot conținutul'), then enumerates exactly what is included: site identity, full pages and articles with drafts, redirects, and an image list with fingerprints. This clearly distinguishes it from sibling tools like listeaza, publica, or salveaza.

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 'pentru o copie de siguranță' provides a clear context for when to use this tool. It does not explicitly name alternatives or state when not to use it, but the backup purpose is enough for an agent to select it appropriately.

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 only mark readOnlyHint=false and destructiveHint=false, so the description carries the burden of behavioral disclosure. It adds key traits: the link is temporary (default 30 minutes), requires no authentication ('fără cheie și fără nimic de completat'), and that the agent should follow up with listeaza_imagini to retrieve the uploaded image. It lacks details on link expiration or failure modes, but the core behavior is well covered.

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 few sentences long but each carries useful information: purpose, usage scenario, and follow-up steps. It front-loads the core function. It could be slightly tighter, but it is not verbose or redundant.

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 tool with one optional parameter and no output schema, the description covers purpose, usage, and the post-upload workflow (calling listeaza_imagini and using /media/ address). It implies the return value is a link. Missing details like exact URL format or error handling are minor given the low 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?

Schema_description_coverage is 0% for the single 'minute' parameter, so the description must compensate. It does by stating 'implicit 30 de minute', which clarifies that the parameter controls the link's validity duration and defines the default. The schema already provides min/max bounds (5-120). The description adds the semantic meaning that the schema lacks.

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 and resource: creates a temporary link for a human to upload photos. It clearly differentiates itself from sibling tools like urca_imagine or urca_fisier by specifying that this is for human-mediated uploads ('omul urcă poze'), not agent-mediated ones. The purpose is unambiguous.

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 gives explicit usage context: use whenever the human wants to upload a photo that resides on their device or in chat, and notes that a photo from chat cannot be sent further by the agent. It also instructs to call listeaza_imagini after upload. However, it does not explicitly name alternatives (like urca_imagine) or state when NOT to use this tool, but the context is clear enough for an agent to infer the right scenario.

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, and destructiveHint=false, so the safety profile is covered. The description adds that the result excludes content and lists specific fields, which is useful context. However, it does not mention pagination, ordering, or limits, which could be relevant for a listing tool. It adds moderate value beyond annotations.

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, concise sentence that front-loads the core purpose and includes the key output details. There is no fluff or redundant phrasing; every word contributes to the meaning.

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 two-parameter listing tool with annotations covering safety, the description is nearly complete. It states the resource type, the fields returned, and the lack of content. It does not mention return format (e.g., array) or ordering, but these are minor omissions for a straightforward list. The absence of an output schema is mitigated by the field enumeration.

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 mentions 'paginilor și/sau articolelor' (implying the 'tip' parameter) and 'stare (ciorna/publicat)' (implying the 'stare' parameter). While the enums are self-explanatory, the description ties them to the output fields, providing some added meaning. However, it does not explicitly explain the parameters or their defaults, leaving some inference required.

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 tool lists pages and/or articles without content, and enumerates the returned fields (slug, title, status, address, date). It distinguishes from sibling list tools by specifying the resource (pages/articles) and the 'without content' scope. This is a specific verb+resource that is unambiguous.

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 purpose and filtering (by type and status) but does not explicitly state when to prefer this tool over alternatives like 'cauta' (search) or 'citeste' (read). It also does not mention exclusions, such as when content is needed. Usage guidance is implicit rather than explicit.

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, and destructiveHint=false, so the safety profile is covered. The description adds useful scoping (OAuth vs header-key) and output fields, but it does not describe return format, ordering, or pagination. This is comparable to a safe read-only list tool with moderate added context.

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 compact sentences front-load the subject and provide an example plus an exclusion. Every sentence adds information and there is no redundancy with the title or annotations.

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 parameterless, read-only list tool, the description is complete: it states what is listed, what fields are returned, and what is excluded. The annotations cover the safety profile, and no output schema exists to explain return values, so the description carries the necessary burden and satisfies it.

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 has zero parameters and the schema is empty, so there are no parameter semantics to clarify. Baseline 4 applies because the description correctly focuses on what the tool returns rather than 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 names the specific resource (OAuth-linked applications) and the action (list), and enumerates the returned fields: name, redirect target, current access status, and permissions. It also explicitly excludes header-key (Claude Code) links, which distinguishes it from other listing tools.

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 states the tool is for OAuth connections and explicitly says header-key links do not appear here, giving the agent a boundary for when not to use it. It does not name a specific alternative for header-key connections, so it stops short of full when-to-use guidance.

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 indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description does not contradict them. It adds useful behavioral detail beyond annotations by stating that the response includes /fisiere/ addresses and that results are sorted newest first.

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 that front-loads the resource type, then includes scope, address format, and ordering. Every element earns its place and there is no 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 parameterless read-only list tool, the description covers the essential return information: uploaded PDF documents, their addresses, and newest-first sorting. Annotations cover safety. It does not mention pagination or additional metadata, but these are not clearly necessary given the tool's simplicity.

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 has zero parameters, so the schema requires no clarification. The description still adds semantic value by specifying what is returned, which is the appropriate baseline for a parameterless tool.

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 and resource: it lists uploaded PDF documents with their /fisiere/... addresses and newest-first ordering. This clearly distinguishes it from sibling list tools such as listeaza_imagini or listeaza_versiuni.

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 usage context: use this tool when you need uploaded PDF documents and their addresses. However, it does not explicitly mention when not to use it or how it differs from generic siblings like listeaza, relying instead on the 'PDF urcate' 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?

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by specifying the /media/ path and newest-first ordering, but does not disclose pagination or return format. No contradiction with annotations.

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, compact phrase with no filler. It front-loads the key scope (/media/) and ordering, and every word contributes meaning.

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 listing tool, the path and sort order together with the annotations are sufficient for an agent to call it correctly. It does not mention recursion or pagination behavior, but that is a minor gap given the tool's simplicity.

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 has zero parameters and the schema is empty, so no parameter documentation is needed. The description adds no parameter detail, which is appropriate here; the baseline for a zero-parameter tool is satisfied.

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 identifies the exact resource ('Imaginile urcate în /media/') and the ordering ('cele mai noi primele'), while the title supplies the action. This makes it clearly distinct from generic listing tools like 'listeaza' and from 'listeaza_fisiere'.

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 when-to-use or alternative mention, but the scope 'images in /media/' implies the intended use case. Sibling names like 'listeaza_fisiere' and 'listeaza_versiuni' provide contrast, though exclusions and conditions are left 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the 301 redirect context, which clarifies the data returned, but it does not disclose additional behavior such as pagination, ordering, or whether all redirects are returned. Given the annotations, this is a reasonable level of transparency.

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, compact phrase that directly states what the tool lists. There is no filler or redundant information. It is front-loaded with the core concept (old addresses) and efficiently communicates the 301 redirect relationship.

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 list tool, the description adequately conveys the tool's purpose and the nature of the data returned. It does not specify the output format or fields (e.g., old URL, new URL), but the description implies these. With no output schema, a bit more detail could help, but the tool is simple enough that this is acceptable.

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 zero parameters, so the baseline for parameter semantics is 4. The description does not need to elaborate on parameters because there are none, and the schema already indicates additionalProperties: false. The description focuses on the tool's output rather than 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 clearly states the tool's function: it lists old addresses that issue 301 redirects to new site addresses. This uses a specific verb-resource relationship and distinguishes it from siblings like 'redirectioneaza' (which likely creates redirects) and the generic 'listeaza'. The title reinforces the 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?

The description implies usage: when you need to view existing redirects, use this tool. However, it does not explicitly mention when not to use it or name alternatives, such as 'redirectioneaza' for creating redirects or 'listeaza' for other list types. This is adequate but leaves selection to the agent's 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing the safety profile. The description adds valuable behavioral context: versions are auto-saved before every modification and are returned newest-first. This goes beyond the annotations without contradicting them.

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 short sentences with zero redundancy. It front-loads the core purpose and includes the most important behavioral detail (ordering) without unnecessary elaboration.

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 list tool with two fully documented parameters, the description covers the purpose, trigger, and ordering. It does not describe the output fields (e.g., version number, date, author), but given there is no output schema and the tool is read-only, this is a minor gap. The description is adequate for an agent to call it correctly.

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%: both 'tip' and 'slug' have detailed descriptions with enums, patterns, and examples. The description does not reference parameters, and since the schema fully documents them, the baseline of 3 is appropriate.

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 tool lists saved versions of an element, specifies the trigger (auto-saved before modifications/publications/withdrawals/deletions), and notes the ordering (newest first). This distinguishes it from sibling tools like 'listeaza' (lists elements), 'citeste' (reads a single element), and 'restaureaza' (restores a version).

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 to view version history but does not explicitly mention when to use it over alternatives like 'restaureaza' (which would consume these versions) or 'citeste' (which reads the current state). The context is clear enough for an agent to infer its use, but no direct routing 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.

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

Annotations already flag read-only and non-destructive, and the description reinforces this with 'Nu creează nimic'. It adds non-obvious behavior: output is incomplete templates with [[COMPLETEAZĂ]] placeholders, meant to be saved as drafts and approved, plus specific privacy-page content (GA4, Cloudflare, 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?

Three sentences front-load the resource and composition before adding workflow and privacy context. No redundant or filler content; each sentence adds distinct 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 parameterless, read-only template-provider, this is complete: it names the included pages, the placeholder format, the save/approve workflow, and the special content of the privacy page. No critical call-time information 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?

There are zero parameters and the schema has no properties, so the schema already fully covers the input surface. The description's mention of placeholders refers to content in the tool's output, not to call parameters, so no additional semantic burden 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 identifies a specific resource—skeleton templates for home, about, services, contact, and privacy pages—and immediately distinguishes it from mutation tools by stating 'Nu creează nimic'. This clearly separates it from siblings like publica or sterge.

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 an explicit workflow: fill the placeholders from user input, save as drafts using the sibling salveaza, then have the human approve. It also tells the agent when not to expect creation and names the save tool directly.

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?

Beyond the annotations (readOnlyHint=true, destructiveHint=false), the description discloses meaningful behavior: the link is temporary, expires after 'minute' (default 60), and is not indexed. It also clarifies that the preview shows the draft as it will appear, not the current live state. These lifecycle details are genuinely valuable and not present in the annotations or 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?

One information-dense sentence packs in purpose, preview scope, expiry control, default value, and indexing behavior with no filler. The structure is slightly run-on, but every element earns its place and the key facts are 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 flat 3-parameter tool with no nested objects, the description covers purpose, parameter semantics, expiry, and indexing behavior. The main gap is the absence of an explicit statement of the return value (the generated URL) — implied by the title but never confirmed — and no mention of failure behavior for an unknown slug.

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 covers 'tip' and 'slug' with rich descriptions (67% coverage), and the description compensates for the undocumented 'minute' parameter by explaining that it controls link expiry with a default of 60. It does not merely repeat schema content — it adds the behavioral meaning of the one parameter the schema leaves 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 description states a precise purpose: generating a temporary link that shows a draft or scheduled item exactly as it will appear on the site before publishing. This clearly distinguishes it from siblings like 'publica' (publish), 'citeste' (read), and 'cauta' (search) — it is neither a content mutation nor a retrieval tool, but a preview-link generator.

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 'înainte de publica' (before publish) and the mention of drafts ('ciornă') and scheduled items ('element programat') give a clear usage context: use it for pre-publish review, not for live content. However, it does not explicitly name alternatives or state when-not-to-use cases, such as when the content is already live.

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?

Beyond the annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false), the description adds key behavior: it makes the element visible, it should be used only after human approval, and with 'la' in the future it schedules automatic publication. This enriches the agent's understanding of timing and workflow. It does not contradict annotations; rather it complements them with scheduling and approval context.

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 sentences, front-loads the core action, and then adds the approval workflow and scheduling behavior. Every clause adds value; no filler or 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 3-parameter publish tool with full schema coverage, no output schema, and helpful annotations, the description covers the essential context: visibility change, approval gate, and scheduling behavior. It could mention the 'la' in the past case, but that is already in the schema's parameter description, so the description is complete enough 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%, so all three parameters are already documented in the schema. The description adds a brief note about 'la' scheduling that reinforces the schema's explanation, but does not significantly extend parameter meaning beyond what the schema provides. Baseline 3 is appropriate.

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 opens with a clear verb-resource statement: 'Face elementul vizibil pe site' (makes the element visible on the site), which uniquely identifies the publish action. It also references the sibling 'previzualizeaza' to distinguish the pre-approval preview step, and explains the scheduling nuance with 'la', so an agent can differentiate it from save or retract.

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 explicitly states the precondition: publish only after human approval, pointing to previzualizeaza as the approval step. It also covers the scheduling use case ('cu la în viitor... programat'). However, it does not explicitly mention when not to use it compared with salveaza or retrage, but the approval condition and visibility outcome provide enough context for selection.

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 indicate idempotentHint=true, destructiveHint=false, and readOnlyHint=false. The description adds the 301 status and the removal behavior when 'la' is empty, which is not covered by annotations. It doesn't contradict annotations and provides useful behavioral context beyond the structured data. The description implies state modification (creating/updating/removing redirects) consistent with the readOnlyHint=false.

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 sentences, front-loaded with the main action, and includes a condition and removal semantics. Every sentence carries meaningful information with no filler. The structure is efficient and easy to scan.

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 tool with two parameters and no output schema, the description covers the core usage, the condition, and the removal behavior. It doesn't mention potential errors, limits, or permissions, but these are not critical for a redirect-setting tool and the annotations cover idempotency and safety. It is complete enough for an agent to call it correctly in most scenarios.

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% for both parameters, so the baseline is 3. The description adds value by clarifying that an empty or null 'la' removes the redirect, which is not fully explicit in the schema (though the schema does note it). It also gives examples in the schema, and the description reinforces the semantics. This goes beyond the schema's raw type definitions.

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 action: sending visitors from an old address to a new one with a 301 redirect. It gives concrete use cases (slug change, old site moved) and explicitly distinguishes itself from the sibling 'listeaza_redirectionari' by focusing on creation/update/removal rather than listing. The verb+resource are specific and unambiguous.

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 provides a clear condition: 'Se aplică doar când la adresa veche nu mai e nimic' (only when the old address has no content). It also explains the removal behavior when 'la' is empty. While it doesn't explicitly name alternatives, the condition is a strong usage guideline that prevents misuse. It could be improved by mentioning that listing redirects is a separate concern, but the context is clear.

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 description adds useful behavior beyond annotations: the restored version returns as a draft, the current version is preserved, and a deleted item may also be brought back. These details clarify the non-destructive nature of the operation, which is especially valuable given the annotations only mark the operation as not read-only and not destructive.

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 concise, front-loaded with the primary action, and every sentence adds meaningful behavioral detail. It avoids redundancy and fits the tool's simple scope well.

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 three fully documented required parameters and no nested objects, the description provides enough context to invoke it correctly: it clarifies the restore behavior, the draft state, and the preservation of the current version. The lack of explicit return-value details is a minor gap, but the schema and description together cover what the agent needs to know before calling.

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 input schema already documents all three required parameters thoroughly. The description does not add parameter-level meaning, but with complete schema coverage, the baseline score of 3 is appropriate.

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 and resource: 'Aduce înapoi o versiune' (brings back a version) and adds that it can also restore a deleted item. It further distinguishes the operation from publishing by noting the restored version 'Revine ca ciornă', making the purpose clear and unique among siblings.

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 when to use the tool: to restore a previous version as a draft for review. However, it provides no explicit when-not-to-use guidance or references to alternatives, even though the sibling list includes related actions like publare, listare, and publicare.

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 mark the operation as non-read-only, idempotent, and non-destructive. The description adds meaningful behavioral context: the element is moved back to draft, disappears from the public site, and remains stored. This is useful beyond the structured annotations, though it does not detail what happens to URLs or existing versions.

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 compact sentence that leads with the core action and then clarifies the key consequences. Every word earns its place; there is no redundancy or filler.

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 two-parameter tool with fully described schema fields and informative annotations, the description is almost sufficient. It explains the operation's effect and non-destructive nature. The main missing contextual detail is an explicit statement about preconditions, such as the element needing to be live or published before retraction.

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 detailed descriptions for both required parameters ('tip' and 'slug'). The description adds no extra parameter-level information, but the schema already carries the full burden, so a baseline score of 3 is appropriate.

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 clear state transition: 'Trece elementul înapoi în ciornă' (moves the element back to draft), and then clarifies the consequences: it disappears from the site but remains saved. This unambiguously differentiates the tool from 'sterge' (delete) and 'publica' (publish) without relying on the tool name alone.

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 use case: unpublish or retract an item while preserving it in the system. However, it does not explicitly say when to prefer this over 'sterge', 'restaureaza', or 'publica', and it does not state prerequisites such as the item needing to be currently published.

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 mark this as destructive and non-read-only. The description adds meaningful context by explaining that existing OAuth tokens are invalidated and that reconnection requires a new approval with the key. This goes beyond what annotations alone communicate and does not contradict them.

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 compact sentence that front-loads the action, then states consequences and policy. Every clause earns its place, and there is no repetition of schema or annotation details.

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 destructive tool, the description covers the effect, reconnection flow, and a usage policy. It does not mention error behavior for invalid client_id or repeated calls, but given the low complexity and strong annotations, this is not a significant 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?

With 0% schema description coverage, the description compensates by telling the agent that client_id should come from listeaza_conexiuni, making the required parameter actionable. It does not provide format or example values, but for a single string parameter this guidance is sufficient.

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 verb ('Anulează'), the resource (OAuth-linked application), and the concrete effect (its tokens no longer work). It also references sibling listeaza_conexiuni as the source for client_id, which distinguishes this tool from generic retrage or sterge sibling tools.

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 states a clear prerequisite (client_id from listeaza_conexiuni) and a policy constraint ('Doar la cererea omului'), telling the agent when this tool is appropriate. It does not explicitly discuss when-not-to-use or name alternative tools, so it falls just short of a 5.

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 declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds valuable behavioral context beyond annotations: it explains draft creation, immediate publication on update if already published, automatic versioning, and HTML filtering with the 'curatari' response field. This goes beyond what annotations provide.

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 four sentences, front-loaded with the core action, and every sentence adds meaningful operational detail. No fluff or repetition—only essential behavioral information is present.

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 12 parameters and complex conditional logic (some fields only for pages/articles), the description covers the key behaviors an agent needs: creation as draft, update semantics, immediate publication, versioning, and HTML filtering response. The schema handles parameter details and required fields at creation, so the description is reasonably complete. It doesn't mention error conditions or output format, but the schema already provides parameter specifics.

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 baseline is 3. The description adds a general instruction to send only changed fields but does not elaborate on any specific parameter semantics beyond the schema. Since schema already fully documents each parameter, the description provides marginal added value 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 clearly states it creates an element as a draft or modifies it, and the title specifies pages or articles. It conveys the core create/update action for two entity types. However, it doesn't explicitly name alternative sibling tools (like 'publica' or 'sterge') to differentiate itself, so it falls slightly short of the highest bar.

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 gives useful usage tips: when modifying, send only changed fields; if the element is published, changes appear immediately; previous version is auto-saved. But it doesn't explicitly state when to prefer this tool over siblings like 'publica' or 'restaureaza', leaving that inference to 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?

Beyond the annotations (idempotentHint=true, destructiveHint=false), the description discloses genuinely additive behavior: changes propagate immediately site-wide ('Schimbarea apare imediat pe tot site-ul'), prior values are retained as versions and surfaced in the response, and only changed fields are applied. This informs the agent about side effects and response content that annotations alone cannot convey; it only stops short of auth, rate-limit, or version-retention-limit 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?

The action is front-loaded in the first clause and the scope sweep is dense but complete, touching all 15 parameters without padding. Each of the three sentences earns its place: scope, partial-update instruction, and behavioral consequences. It is near the upper bound of acceptable length and would scan slightly better with bulleted enumeration, 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 15-parameter write tool with no output schema, the description covers the critical contextual gaps: what changes, that changes are immediate and site-wide, that old values are versioned and returned, and that partial payloads are expected. The residual gap is that the response format beyond 'versions appear' is unspecified, and since no output schema exists, the description carries that burden only partially.

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?

With 93% schema description coverage, the baseline is 3 per the rubric: the schema already explains each parameter deeply, including ga4's CSP/nonce behavior, legaturi's sameAs semantics, arata_data's sitemap/feed caveat, and realizare_url's exclusion from sameAs. The description adds only the global partial-update rule, which mildly informs how parameters should be sent but does not substantively supplement the per-parameter semantics.

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 opens with a specific verb+resource ('Schimbă identitatea site-ului') and enumerates the full scope: numele, descrierea, autorul, limba, culoarea, tema, subsol, realizare, nume_articole, arata_data. This makes the tool's job unambiguous and its scope broader than the title suggests, but it never names a sibling to differentiate itself, so an agent must infer the boundary between site-identity settings and content operations like salveaza or despre_site.

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 one operational rule — 'Trimite doar câmpurile care se schimbă' — signaling partial-update semantics, and the field list implies the tool is for site-identity changes. However, it offers no explicit when-to-use versus when-not-to-use guidance and no alternative routing, which is a real gap given 25 siblings including salveaza and despre_site that could plausibly overlap with 'setting' something about the site.

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 mark this as destructive and non-read-only, and the description adds valuable behavior beyond that: the deletion is reversible, the item is moved between versions, and it can be restored with 'restaureaza'. It also discloses that the effect is both 'de pe site' and 'din listă', which is useful for the agent.

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 short sentences with no filler: the primary action is front-loaded, and the reversibility/restore info follows immediately. Every clause 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 two-parameter mutation with strong annotations, the description covers the core behavior, scope, and reversibility. It does not describe the return format or post-condition details, but those are not essential for selecting and invoking this tool correctly.

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%, so the parameters are fully documented in the schema itself, including enum values, patterns, and examples. The description adds no extra parameter semantics, which is acceptable given the high schema coverage.

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 concrete action and resource: it removes an element from the site and the list, moving it between versions. This clearly identifies the tool as the reversible deletion operation for pages/articles, and the mention of 'restaureaza' plus the sibling 'sterge_fisier' helps distinguish it from file deletion.

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: delete a content element (page/article) rather than a file. However, the description does not explicitly give when-to-use or when-not-to-use guidance, nor does it name alternatives such as 'sterge_fisier' for files or 'retrage' for publication status.

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?

Beyond the annotations (destructiveHint=true), the description discloses that deletion is reversible, that the file's address no longer responds, and that backlinks cause a refusal with a force override. This is valuable behavioral context that the annotations alone do not provide, and it does not contradict the structured hints.

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 filler. The core behavior is front-loaded, and the refusal/force condition follows immediately, making the description easy to parse and act on.

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 two-parameter tool with no output schema and strong annotations, the description covers the action, reversibility, and the guard condition. It does not detail return values or version mechanics, but those are 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?

The schema describes 'nume' with a source and example, but leaves 'forteaza' undocumented. The tool description supplies the critical meaning of forteaza by tying it to the link-refusal override, compensating well for the 50% schema description coverage.

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 frames the action as moving a document between versions so its address stops responding, which clearly signals a reversible delete on a specific file resource. The title adds 'reversibil', distinguishing it from a permanent delete, though the phrasing is somewhat euphemistic and does not explicitly contrast it with the sibling 'sterge'.

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 provides one explicit usage condition: the tool refuses to act when a page or article links to the file, unless forteaza=true. However, it does not state when to choose this tool over alternatives like 'sterge' or 'restaureaza', leaving that routing to the agent's inference from sibling 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?

Annotations already mark destructiveHint=true, but the description adds meaningful context: the operation is a reversible move between versions, not a permanent deletion, and it refuses to act when the image is in use unless forteaza=true. This goes beyond the structured hints and clarifies the actual 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?

Two short sentences, front-loaded with the core action and followed by the key refusal condition. There is no filler, no repetition of schema details, and every clause 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 simple two-parameter mutation with no output schema, the description covers the operation, reversibility, and the force override. It does not describe the response format or exactly what 'between versions' entails, but the essential calling decision is well supported.

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 documents nume as 'numele din listeaza_imagini', but forteaza is only a bare boolean with a default. The description compensates by explaining that forteaza=true bypasses the usage check, giving the undocumented parameter concrete meaning.

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 ('Mută') and resource ('imaginea'), and clarifies the reversible nature by saying the image is moved between versions rather than permanently erased. It implicitly distinguishes itself from permanent-delete siblings like sterge_fisier, but it does not explicitly name alternatives, so it stops short of full differentiation.

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 alternatives such as sterge_fisier, sterge, or restaureaza. The conditional 'Refuză dacă e folosită undeva, afară de cazul forteaza=true' describes behavior rather than providing usage context or alternative routing.

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?

Beyond the annotations (readOnly=false, destructive=false), the description discloses size limits for both modes, the security behavior of refusing internal addresses, magic-byte content verification ('conținutul se verifică, nu numele'), and full replacement semantics: inlocuieste=true is required to overwrite, the address stays stable, and the old version is retained. This is exactly the behavioral context an agent needs.

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?

Five dense sentences, front-loaded with purpose and return value before moving to modes, validation, and replacement rules. Each sentence carries distinct information; the example link is slightly redundant but pedagogically useful.

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 4-param tool with two mutually exclusive modes, validation rules, and versioning semantics, the description covers the essential decisions: mode selection, naming behavior, replacement, and return format. Minor gaps: the exact failure/error behavior on invalid PDFs is not described, and the output format is informally given rather than structured.

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 baseline is 3, but the description adds real semantics beyond the schema: the either/or exclusivity between url and continut_base64, the differing size ceilings, and the consequence of inlocuieste=true (old version kept). This meaningfully compensates wherever the schema is terse.

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 opens with a specific verb and resource ('Urcă un document PDF') and states the concrete return value (the /fisiere/<nume>.pdf address for embedding in links). The PDF-only constraint and max size scope clearly distinguish it from sibling upload tools like urca_imagine.

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 gives explicit routing guidance between the two upload modes: url for public PDFs up to 25 MB (server fetches it) and continut_base64 for files up to ~6 MB, plus a warning that internal addresses are refused. It doesn't explicitly name sibling alternatives (e.g., when to prefer urca_imagine), but the PDF-only constraint implies the exclusion boundary.

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?

Beyond the annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false), the description discloses significant behavioral details: the server downloads the image itself from a public URL, internal addresses are rejected, base64 is only for small images, and the output is a /media/ address. Nothing contradicts the annotations, and the extra context helps an agent predict side effects.

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?

Every sentence in the description earns its place. The core action and return value are front-loaded, input modes are clearly delineated with FIE...FIE, and the alternative tool routing is given as a final concise instruction. No filler, no repetition of schema field names without added value.

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 3 optional parameters, no required fields, and no output schema, the description is complete: it explains the purpose, the input alternatives, size limits, format restrictions, the return type, and when to use a different tool. An agent has enough information to call this correctly in most scenarios.

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?

Although the schema already covers all three parameters with descriptions, the tool description adds critical constraints not in the schema: 'url' and 'continut_base64' are mutually exclusive alternatives, 'nume' can be omitted when using 'url', the extension is inferred from content, and base64 may include a data:image prefix. This is essential for correct invocation.

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 action ('Urcă o imagine'), the accepted image formats (JPEG/PNG/GIF/WebP), the size limit (max 5 MB), and the specific return value (/media/... address). It also differentiates from sibling link_urcare by explicitly naming it as the alternative for images on a person's device. This leaves no ambiguity about what the tool does.

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 gives explicit when-to-use and when-not-to-use guidance: send either 'url' or 'continut_base64', and explicitly says when the image is with the person (phone, computer, chat), do not encode it but call link_urcare and provide the link. It also mentions that internal addresses are refused, preventing a class of invalid calls.

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