GrantSonar

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

Annotations already indicate destructiveHint=true, but the description adds valuable context: the operation is reversible and requires the API key. It also clarifies that dismiss affects only 'YOUR active feed', which is useful behavioral scope beyond the 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?

The description is two sentences with no filler. The main action is front-loaded, the restore option is explained, and the reversibility/auth note is concise and 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 simple two-parameter tool with no output schema, the description covers the core operation, scope, restore behavior, reversibility, and auth requirement. It does not specify return values or pagination, but those are not necessary here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already documents grant_id as a UUID and dismissed as 'true = dismiss, false = restore'. The description repeats the dismissed=false mapping but does not add new parameter meaning beyond what the schema provides.

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 ('Dismiss') and resource (a grant in 'YOUR active feed'), and also covers the restore behavior with 'dismissed=false'. It is clear enough to be distinguished from siblings like search_grants or save_grant, though it does not explicitly name a sibling alternative.

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 clear context: use this tool to dismiss or restore a grant in your own active feed. It does not explicitly list when-not-to-use or reference an alternative tool, but the intended use case is evident from the phrasing.

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 destructive (destructiveHint: true) and non-read-only, and the description adds valuable behavioral context beyond that: it snapshots prior content before saving, requires a paid API key, and is heavily metered. It also states the return value ('Returns the drafted text'), covering what the agent can expect.

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 compact and front-loaded: it leads with the primary action and storage effect, then covers cost/metering, return value, and parameter guidance. Every sentence adds necessary information without fluff.

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 state-changing tool with no output schema, the description is fairly complete: it explains the drafting behavior, the save/snapshot side effect, cost constraints, and return value. It could slightly improve by explicitly contrasting with update_application_section for manual edits, but the core usage is covered.

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 documents all three parameters. The description adds a small but useful pointer for section_key ('Use get_my_application for section_keys'), but it does not materially expand on document_type or application_id beyond what the schema provides.

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 ('Generate an AI first-draft for one section'), identifies the resource ('your application'), and clarifies the side effect ('save it into that section'). It also differentiates from siblings by calling itself 'the only tool that runs the grant writer,' which separates it from update_application_section.

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 clear usage context: it requires a paid API key, is metered heavily, and should be used for drafting rather than manual edits. It also directs the agent to get_my_application for valid section_keys. However, it does not explicitly state when not to use this tool or name update_application_section as the alternative for manual edits.

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 communicate that this is a safe, read-only, non-destructive operation. The description adds what data will be returned but does not disclose behaviors such as not-found handling, pagination, or response shape. This is adequate but not rich; the description adds only mild value beyond the 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?

One sentence delivers the verb, resource, identifier, and expected content with zero filler. All essential information is front-loaded; the sentence is compact and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-resource read with one required parameter and no output schema, the description is complete enough: it explains what to pass and what to expect. It omits edge-case behavior like missing IDs, but the task is simple and the annotations already cover the safety profile. A small gap remains in describing possible failure responses.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter is already fully documented in the schema: 'GrantSonar grant UUID (from a search_grants result).' The description essentially restates the same meaning with 'by its GrantSonar grant_id (UUID),' so it adds no meaningful parameter semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Fetch') and a clear resource ('full detail of a single grant opportunity'), and it names the key content areas (synopsis, eligibility, deadlines, award amounts). This clearly distinguishes it from list/search siblings like search_grants and list_my_applications.

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 clearly: call this when you already have a GrantSonar grant_id from a search result, and you need the full detail of one grant. It does not explicitly state when not to use it or name alternatives, but the contrast with list/search tools is evident 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 declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds the authentication requirement ('Requires your API key') and specifies the return payload (status and every section draft), which provides behavioral context beyond the 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 two sentences with no filler. The primary purpose and scope are front-loaded, and the API key requirement is a brief, necessary addition. Every word 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?

Given the simple tool with two optional parameters and no output schema, the description covers the essential details: what it returns, how to identify the application, and the auth requirement. It does not explicitly note that at least one identifier must be provided (schema lists both as optional), but the phrasing 'by application_id or grant_id' implies this, so the gap is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema descriptions for both parameters are complete (100% coverage), but the description clarifies that application_id and grant_id are alternative identifiers for the same application, which is not explicitly stated in the schema. This adds relational meaning beyond the individual parameter descriptions.

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 verb 'Fetch', the resource 'YOUR grant applications', and specifies it returns 'status + every section draft'. It distinguishes from siblings like get_grant (generic grant info) and list_my_applications (listing all) by emphasizing it retrieves a single application belonging to the caller.

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 a specific application, but it does not explicitly mention alternatives like list_my_applications for all or get_grant for general grant details. No explicit when-not or alternative routing is provided, so usage context 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds meaningful context by specifying that an API key is required, limiting results to the caller's organization, and listing the exact output fields, which is helpful given there is no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the action and then packs scope, output fields, and authentication into a compact, readable form. There is no filler or redundant 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 zero-parameter, read-only list tool, this description is fully sufficient: it states what is listed, whose data is returned, the return fields, and the auth requirement. Sibling routing would be a nice enhancement but is not necessary 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 tool has zero parameters, so the baseline is 4. There are no parameter semantics to explain, and the description instead clarifies the return payload, which is appropriate for this 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 ('List'), a specific resource ('your organization's grant applications'), and enumerates the returned fields (id, grant title, status, document type, last updated). The emphasis on 'YOUR organization's' and the plural scope clearly distinguishes it from siblings like get_my_application and search_grants.

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 through the scope 'YOUR organization's grant applications', but it does not explicitly mention alternatives or state when not to use it. The API key requirement is a useful precondition, but no guidance is given about choosing this over list_my_matches or search_grants.

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 and destructiveHint=false, so the safety profile is covered. The description adds the API key requirement and enumerates the returned fields (tier, score, reasons, pipeline status, URL), but it does not disclose behavior like ordering, pagination, or whether the data is cached. This is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences: the first states the core purpose and scope, the second adds the auth requirement and the key output fields. Every phrase earns its place, and there is no filler or redundant restating of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with fully described optional parameters and safety annotations, this description is nearly complete. It states what the matches are, what is returned, and the authentication requirement. The only minor gap is not describing the default ordering or pagination behavior, but the schema already covers the limit parameter.

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 (tier, view, limit) are already fully documented with enums and defaults. The tool description does not need to add parameter details, and it correctly focuses on the return value rather than repeating schema information.

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 ('List') and a specific resource ('YOUR organization's scored grant matches'), and explicitly ties it to the personalized dashboard view. This clearly differentiates it from likely siblings like search_grants and list_my_applications.

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 establishes clear context: use this to retrieve the same personalized, scored matches shown on the GrantSonar dashboard, and it notes the API key requirement. It does not explicitly name alternatives or state when not to use it, but the context is strong 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?

The description adds useful behavioral context beyond annotations: the operation is reversible, requires the user's API key, and mirrors the dashboard Save button. Since destructiveHint=false already signals non-destructive behavior, the description further clarifies the mutation's scope and side effects, though it does not detail what happens on repeated calls or invalid grant IDs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with no filler. The core action is front-loaded, and each sentence earns its place by adding scope, reversibility, auth context, or a familiar UI analogy.

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 tool with full schema coverage and annotations, the description is almost complete. It covers purpose, reversibility, auth, and user scope; the only minor gap is the lack of any indication of return/response behavior since there is no output schema.

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 fully documents grant_id and status, including the enum values and default. The description mentions 'pursuing/applied' and 'save', which aligns with the status parameter, but it adds no meaning beyond what the schema already provides.

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 ('Save a grant to YOUR pipeline') and the alternative mode ('set its status to pursuing/applied'), clearly identifying the resource and scope. It also distinguishes itself from read/list siblings by emphasizing the personal pipeline and the dashboard Save button behavior.

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 clear context on when to use this tool: to save a grant or update its pipeline status. It notes the API key requirement, but it does not explicitly exclude alternatives such as dismiss_grant or explain when to choose status values, so it stops short of full when/when-not 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 mark it read-only, open-world, and non-destructive; the description adds meaningful behavior beyond that: semantic search over plain-English text, a keyword fallback, and the specific return fields per hit. 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?

Two dense sentences with no fluff: the first defines scope, the second explains mechanism and expected output. Information is front-loaded and every clause contributes.

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 simple schema and read-only annotations, the description covers everything needed to select and invoke the tool correctly: what it searches, how queries are interpreted, and what each hit returns. No output schema exists, so the explicit return-fields list is valuable and sufficient.

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?

Input schema already describes both parameters fully (100% coverage). The description adds value by clarifying that 'query' is interpreted as a plain-English semantic-search query rather than a simple keyword match, and by specifying the corpus searched.

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 ('Search'), a clear resource ('open grant opportunities in the GrantSonar corpus'), and scope ('federal, state, and foundation grants'). This distinguishes it from siblings like get_grant (specific grant retrieval) and list_my_matches (personalized matches).

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?

Describes the input style ('plain-English description of the project or need') and mechanism ('semantic similarity ... with a keyword fallback'), making the intended use case clear. It does not explicitly call out when not to use it or name alternatives, but the context is sufficient.

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 adds valuable behavioral context: it discloses that the prior draft is snapshotted to version history first, making the operation recoverable, and explicitly mentions the API key requirement. This reduces risk for the agent and directly addresses the destructive nature of the tool without contradicting the 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 three sentences with the core action front-loaded. Each sentence earns its place: the action and modes, the API key requirement, the recoverability guarantee, and the pointer for section keys. There is no fluff or repetition of schema content.

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 write tool with no output schema and a simple parameter set, the description covers the essential context: what it does, modes, auth requirement, recoverability, and how to obtain a required parameter. It doesn't describe the response or error behavior, but that is not critical given the simplicity and the fact that annotations already flag destructive behavior.

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 meaning by telling the agent to use get_my_application to see section_keys, clarifying the source of the section_key parameter. This goes slightly beyond the schema's own description by providing a workflow pointer, justifying a 4.

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 ('Write content into one section') and the resource ('your grant application') with explicit modes of 'replace or append'. This is specific enough to distinguish it from most siblings, though it does not explicitly name alternatives like draft_application_section, so it lacks the full 5-level 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?

The description provides practical guidance on what to do first ('Use get_my_application to see section_keys') and notes a prerequisite ('Requires your API key'). It does not explicitly state when to use this tool versus alternatives like draft_application_section, nor does it mention situations where this tool should not be used, leaving usage context implied rather than explicit.

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