Subfeed

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

No annotations provided, so description carries full burden, yet it discloses nothing about sync/async behavior, persistence, rate limits, or response format. The existence of sessionId parameter implies stateful conversations but description doesn't confirm this.

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?

Extremely brief single phrase with no redundancy. However, excessive brevity harms completeness; the description is front-loaded but insufficiently informative for tool selection.

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 conversational tool with 3 parameters and no output schema or annotations, the description fails to explain what 'chat' entails (AI response? User messaging?), expected latency, or return value structure. Relies entirely on parameter schema for meaning.

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 has 100% description coverage (id, message, sessionId all documented), establishing baseline 3. Description adds no additional semantics, examples, or constraints (e.g., message length limits) beyond what 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?

States the core action (chat) and target (entity) but uses domain jargon 'entity' without clarification. Does not distinguish from sibling tool 'subfeed_invoke' which may have overlapping functionality. Adequate but not specific.

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?

Provides no guidance on when to use this versus subfeed_invoke or other entity interaction tools. No mention of when sessionId is required vs optional for conversation continuity.

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

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

No annotations are provided, so the description carries the full burden. While 'Create' implies a mutative operation, the description fails to disclose persistence guarantees, idempotency behavior, required permissions, or what happens to existing entities with the same name.

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?

Single sentence with no redundancy or filler. However, extreme brevity comes at the cost of omitting critical behavioral and contextual details that would help an agent invoke the tool correctly.

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?

Inadequate for a 7-parameter creation tool with no output schema. The description fails to define what an 'AI entity' is (configuration, persona, or user profile), does not indicate return values (e.g., entity ID), and omits relationships to prerequisite tools like 'subfeed_register' or 'subfeed_list_models'.

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 57% schema coverage, the schema partially documents parameters (e.g., 'model' references 'subfeed_list_models'). The description text itself adds no semantic clarification for undocumented parameters like 'topP', 'maxTokens', or 'temperature', warranting the baseline score.

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 ('Create') and resource ('AI entity') with platform context ('on Subfeed'). However, it does not distinguish from siblings like 'subfeed_update_entity' or clarify what distinguishes an 'AI entity' from other Subfeed 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?

Provides no guidance on when to use this tool versus siblings like 'subfeed_update_entity' or 'subfeed_register'. Does not mention prerequisites (e.g., whether the user must be registered) or error conditions (e.g., duplicate 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?

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. For a destructive operation, it fails to specify whether deletion is permanent, soft/hard delete, reversible, or what happens to dependent resources. This creates a significant safety gap for agent decision-making.

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?

At three words, the description is superficially concise but suffers from under-specification. In the context of a destructive operation requiring careful safety disclosures, this extreme brevity fails to earn its place and leaves critical gaps.

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 this is a destructive mutation tool with no annotations and no output schema, the description should provide safety warnings, permanence details, and side-effect disclosures. The current description is inadequately minimal for this complexity level.

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

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

Schema description coverage is 100% ('Entity ID'), establishing a baseline. The description adds no additional semantic context about the ID format, how to obtain it, or validation rules 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 'Delete an entity' essentially restates the tool name (subfeed_delete_entity), constituting a tautology. While it identifies the verb and resource, it fails to distinguish from siblings like subfeed_disable_addon, subfeed_update_entity, or subfeed_publish_entity that might modify entity state differently.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use delete versus alternative operations like disable or unpublish, nor any prerequisites (e.g., whether the entity must be unpublished first). The description states only the action without contextual constraints.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Disable' implies a state change but doesn't clarify if this is reversible (presumably via enable_addon), destructive, idempotent, or what response to 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?

Extremely brief single sentence (6 words) that is front-loaded with the action verb. While efficient in structure, this extreme brevity contributes to underspecification given the lack of annotations and output schema.

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?

Mutation operation with no annotations, no output schema, and minimal behavioral description. Missing critical context: reversibility, prerequisites, side effects on the entity, and relationship to the enable_addon sibling.

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 parameters documented). The description adds minimal semantic value beyond the schema, though 'on an entity' reinforces that the 'id' parameter refers to the parent entity. No format examples or value constraints provided.

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 (disable) and resource (addon) with clear scope (on an entity). However, it fails to explicitly differentiate from sibling 'subfeed_enable_addon' or clarify the toggle relationship between these operations.

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?

Provides no guidance on when to use this tool versus siblings, prerequisites (e.g., addon must be currently enabled), or consequences of disabling. No mention of the inverse operation or error conditions.

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?

Since annotations are empty, description carries full burden. It successfully discloses auth requirements ('No auth required'), but omits other behavioral traits like return format, pagination behavior, or rate limits.

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, zero waste. Front-loaded with purpose, followed by auth constraint. Efficient structure, though 'Browse or search' slightly overlaps concepts without clarifying if both modes are equally supported.

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?

Adequate for a simple search/browse tool with fully documented schema, but gaps remain regarding output format and explicit differentiation from subfeed_list_entities sibling.

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 has 100% description coverage (limit, offset, search all documented). Description adds no parameter-specific semantics, which is acceptable baseline when schema does the heavy lifting.

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 specific verbs (browse/search) and resource (public entity directory). Mentions 'public' which hints at distinction from sibling 'subfeed_list_entities', but doesn't explicitly clarify the scope difference between public discovery versus private listing.

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?

Provides one key usage constraint ('No auth required') indicating when to use this tool, but lacks explicit when/when-not guidance regarding similar sibling tools like subfeed_list_entities.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It does not specify if the operation is idempotent, reversible, what side effects occur when enabling specific addon types (e.g., web_search), or what error conditions arise if the addon is already enabled.

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?

At five words, the description is brief but underspecified rather than efficiently concise. Given the lack of annotations and the stateful nature of the operation, the description fails to earn its place by omitting critical behavioral context that would help an agent use the tool correctly.

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

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

For a mutation tool with no output schema and no annotations, the description is insufficient. It fails to explain the domain model (what constitutes an addon vs an entity), the effect of different addon types, or the operational lifecycle (can disable_addon reverse this?).

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 100% description coverage, documenting both the 'id' parameter and the specific 'addonType' values (web_search, code_execution, etc.). The description adds no additional semantic information beyond the schema, warranting the baseline score of 3.

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 clear verb ('Enable') and identifies the target resource ('addon') and scope ('on an entity'). However, terms like 'entity' and 'addon' lack domain context, and the description fails to differentiate from the sibling `subfeed_disable_addon` tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this tool versus `subfeed_disable_addon` or `subfeed_list_addons`. No prerequisites are stated (e.g., whether the entity must exist or be in a specific state before enabling).

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

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

No annotations are provided, so the description carries the full burden of disclosure. While 'Get' implies a read operation, the description does not confirm it is safe (read-only), state what happens if the ID is not found, mention required permissions, or describe the return value format.

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 extremely brief (three words) and front-loaded, containing no wasted sentences. However, it is under-specified rather than elegantly concise. It avoids the verbosity trap but lands in insufficiency.

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?

Despite the simple schema (one parameter), the description is incomplete for the tool ecosystem. With no output schema and many sibling tools, the description should specify that this retrieves a single entity by ID and characterize the returned details to distinguish it from list/search operations.

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 100% description coverage ('Entity ID' for the id parameter). The description adds no semantic information beyond the schema itself, warranting the baseline score of 3 for well-documented schemas.

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 'Get entity details' is tautological—it simply restates the tool name 'subfeed_get_entity' using the same verb and noun. It fails to specify what constitutes an 'entity' in this context or how this differs from siblings like subfeed_list_entities or subfeed_discover_entities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the numerous sibling alternatives (e.g., list_entities, discover_entities, create_entity). With thirteen sibling tools, the description should clarify that this retrieves a specific entity by ID versus listing or searching.

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

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

With no annotations provided, the description carries the full burden. It successfully discloses the authentication behavior ('No auth required'), but omits other critical behavioral traits: whether invocation is synchronous, what side effects occur, or what the expected response format is.

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

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

Extremely concise with zero waste. Two sentences: one defining the operation, one stating a critical constraint. Every word 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?

Given the simple 2-parameter schema with full coverage and no output schema, the description meets minimum requirements but leaves ambiguity about the core 'invoke' operation. The 'no auth' addition is valuable for a public endpoint, but the tool would benefit from clarifying the invocation mechanism.

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% (both id and message have descriptions), establishing a baseline of 3. The description adds no additional semantic context about the parameters—id is not explained as a specific format, and message content constraints are not elaborated.

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

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

The description states the verb ('Invoke') and resource ('public entity'), but 'invoke' is vague—it does not explain whether this triggers execution, sends a message, or calls a function. It fails to distinguish from siblings like subfeed_chat (which also likely sends messages) or subfeed_publish_entity.

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 'No auth required' text provides explicit prerequisite guidance, which helps the agent know when credential constraints are relaxed. However, it lacks explicit when-to-use guidance or alternatives compared to other entity operation tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'List' implies a read-only operation, the description omits what the return structure looks like, whether results are paginated, what happens if the entity ID is invalid, or whether this includes system vs user-enabled addons.

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 single sentence is front-loaded with the action verb and contains no waste words. However, the extreme brevity comes at the cost of omitting useful behavioral context, preventing a score of 5.

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 tool's low complexity (single string parameter) and complete schema coverage, the description is minimally adequate. However, lacking an output schema, the description should have indicated what information is returned (e.g., list of addon IDs, names, versions) to be complete.

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 100% schema description coverage ('Entity ID' already documented), the baseline is 3. The phrase 'on an entity' in the description confirms the relationship between the 'id' parameter and the entity concept but adds minimal semantic depth 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 uses a specific verb ('List') with clear resource ('addons') and scope ('enabled on an entity'). It implicitly distinguishes from sibling tools like 'subfeed_enable_addon' and 'subfeed_list_entities' by focusing on 'enabled' state and 'addons' resource respectively, though it does not explicitly name alternative 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?

No guidance provided on when to use this tool versus alternatives like 'subfeed_enable_addon' or 'subfeed_disable_addon', nor any preconditions mentioned (e.g., whether entity must exist first). The agent receives no signal about typical workflows or prerequisites.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure but provides none. It does not indicate whether this is a read-only operation, its scope (personal vs workspace), rate limits, pagination defaults, or what the returned entity structure contains.

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 extremely concise at three words with no redundancy, earning points for efficiency. However, this extreme brevity crosses into under-specification given the tool's context complexity and lack of supporting 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?

Given 2 parameters, no annotations, no output schema, and 12+ sibling tools including CRUD variants, the description is insufficient. It must explain what entities are in this domain and distinguish this listing operation from discovery/retrieval siblings, which it fails to do.

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 has 100% description coverage ('Max results' and 'Pagination offset'), establishing baseline 3. The description adds no semantic context beyond the schema (e.g., max limit constraints, whether offset is 0-indexed), but does not need to compensate given full 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 the basic action ('List') and resource ('entities') but fails to specify what type of entities these are or how this differs from sibling tools like subfeed_discover_entities, subfeed_get_entity, or subfeed_create_entity. Given the rich sibling set with overlapping verbs (list vs discover vs get), this ambiguity makes tool selection difficult.

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 no guidance on when to use this tool versus alternatives. It does not differentiate between listing owned entities versus discovering public ones (subfeed_discover_entities) or retrieving specific ones (subfeed_get_entity), nor does it mention pagination requirements.

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 are absent, so description carries full burden. 'All available' indicates comprehensive scope without filtering/pagination, but lacks disclosure on return structure, caching behavior, or rate limits expected for a model discovery endpoint.

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?

Single sentence of seven words with zero redundancy. Information is front-loaded and immediately actionable.

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?

Adequate for a zero-parameter list tool, but without output schema, description could benefit from indicating whether this returns model IDs, names, capabilities, or pricing information to guide usage.

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 has zero parameters, triggering baseline score of 4. No parameters require semantic elaboration.

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?

Clear verb 'List' and resource 'LLM models on Subfeed', distinguishing implicitly from sibling list tools by specifying 'LLM models' rather than 'entities' or 'addons'. However, lacks explicit differentiation from subfeed_list_entities or subfeed_list_addons.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this discovery tool versus subfeed_list_entities or subfeed_list_addons, or what constitutes an 'LLM model' in this context versus other entity types.

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

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

With no annotations, the description carries the full burden and succeeds in disclosing side effects: explicitly states it sets 'public: true and discoverable: true' and mentions the 'public directory' destination. However, it omits whether the operation is idempotent, reversible (unpublish), or requires specific permissions.

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 with zero waste: first establishes the action, second reveals side effects. Perfectly front-loaded and appropriately sized for a single-parameter mutation tool.

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

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

Given the low complexity (1 parameter, 100% schema coverage, no output schema), the description adequately covers the operation's purpose and side effects. Minor gap: does not mention reversibility or relationship to subfeed_update_entity which could potentially inverse this 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 has 100% coverage (single 'id' parameter with description 'Entity ID'), establishing a baseline of 3. The tool description refers to 'entity' generally but does not augment the parameter semantics with details like ID format, where to obtain it, or validation rules 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?

Excellent specificity: 'Publish' is a clear verb, 'entity' is the resource, and 'to the public directory' defines scope. It naturally distinguishes from siblings like subfeed_create_entity (instantiation) and subfeed_update_entity (modification), establishing publishing as a distinct business operation.

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?

Implicitly guides by stating the specific outcome (sets public/discoverable flags), but lacks explicit guidance on when to choose this over subfeed_update_entity which might support the same flag updates. No prerequisites or error conditions are mentioned.

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

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

No annotations provided, so description carries full burden. It successfully discloses the dual registration path (agent token vs human account) based on email presence. However, lacks details on return values, idempotency, or side effects of the 'referred_by' parameter.

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, zero waste. Front-loaded with the core action, followed immediately by the critical conditional instruction. 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?

Five parameters with 100% schema coverage adequately handled. No output schema exists; description hints at return type ('token') but doesn't fully specify response structure. Sufficiently complete for a registration tool given the schema clarity.

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 has 100% coverage, so baseline is 3. Description adds crucial semantic value by explaining the conditional logic (email omission → agent token, inclusion → human account) that isn't captured in the individual parameter descriptions. Does not redundantly describe fields already well-documented in 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?

Clear verb 'Register' and resource 'Subfeed'. Distinct from entity-focused siblings (create_entity, delete_entity, etc.) as this initiates access/account creation rather than managing data entities. Could specify the output (credentials/token) explicitly.

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?

Excellent conditional guidance: 'Omit email for autonomous agent token. Include email for full human account.' Explicitly tells the agent how to choose parameter values based on use case (autonomous vs human account). No explicit 'when not to use' but unnecessary given sibling differentiation.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it reveals nothing about error handling (e.g., invalid ID), validation rules, atomicity, or side effects. The term 'Update' implies mutation but lacks specificity about whether omitted fields are preserved or reset.

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?

While brief (4 words), this represents under-specification rather than effective conciseness. For a 10-parameter tool with complex AI configuration semantics, the description is insufficiently dense with information. The sentence does not earn its place—it restates the operation without clarifying scope.

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

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

Highly incomplete given the complexity: 10 parameters, no annotations, no output schema, and mutable state involved. The description lacks critical context needed for an agent to correctly populate parameters like 'discoverable' vs 'public' or understand the entity lifecycle in the subfeed ecosystem.

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 critically low at 10% (only 'id' is documented). With 9 undocumented parameters including domain-specific AI concepts (topP, temperature, systemPrompt), the description fails to compensate—it mentions 'config' generically but provides no semantic guidance on the ML-specific parameters or boolean flags (discoverable vs public).

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 the verb ('Update') and target ('entity's config'), but 'config' is vague given the domain-specific parameters (temperature, topP, systemPrompt). Does not differentiate from sibling operations like create_entity or publish_entity, leaving ambiguity about what constitutes an 'entity' in this context.

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?

Provides no guidance on when to use this tool versus siblings (e.g., create_entity vs update_entity). No mention of prerequisites, partial vs full update semantics, or idempotency expectations for configuration updates.

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 are absent, so description must carry full behavioral burden. It discloses auth requirements but fails to describe critical webhook behaviors: that it triggers an external HTTP POST request, synchronous vs asynchronous delivery, retry policies, or failure modes. For a side-effect-heavy operation, this is insufficient.

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?

Extremely efficient two-sentence structure. First sentence establishes purpose, second provides critical constraint. No redundant or filler text; 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?

Adequate for a two-parameter tool with complete schema documentation. However, given the webhook nature (external network call), the description should explain the delivery mechanism or response handling. Without output schema or annotations, it meets minimum viability but leaves operational gaps.

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 has 100% description coverage ('Public entity ID' and 'JSON payload to send'), establishing baseline 3. Description reinforces these concepts ('public entity', 'webhook payload') but adds no additional constraints, format details, or examples beyond what's in 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?

Clear verb (Send) + resource (webhook payload) + target (public entity). Uses specific technical term 'webhook' which likely distinguishes it from sibling subfeed_publish_entity (internal publishing vs external webhook), though explicit differentiation is not stated.

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?

Provides one usage constraint ("No auth required") which signals when it's safe to use. However, lacks explicit guidance on when to choose this over subfeed_publish_entity or subfeed_invoke, and doesn't mention prerequisites like the entity needing a webhook URL configured.

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