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

With no annotations, the description carries the full burden. It usefully discloses the return value (new comment ID) and side effects (activity stream visibility, follower notifications), but omits permission requirements, rate limits, and whether the text is editable or deletable after posting.

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, front-loaded sentences. The first states the action, the second the return value, and the third a key side effect. Every sentence earns its place with 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 simple two-parameter tool with a fully described schema and no output schema, the description covers purpose, return value, and notification behavior. It is nearly complete, missing only auth/permission context that would be useful for a write 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 both item_id and text are already well documented in the input schema. The description adds no parameter-specific syntax, format, or constraint details beyond what the schema provides, making the baseline of 3 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?

States a specific verb and resource: 'Adds a text comment to a Podio item.' The purpose is unambiguous and clearly distinct from sibling tools like podio_get_comments, but it does not explicitly name or contrast with alternatives to earn 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?

Provides no when-to-use guidance, prerequisites, or exclusions. It describes what happens after posting (appears in activity stream, notifies followers) but does not help an agent choose this tool over alternatives such as podio_get_comments or other item mutations.

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

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

With no annotations the description carries the full burden and does reasonably well: it discloses the two-step mechanic (multipart upload to the file API, then attach), the 100MB size cap, and the returned fields. It omits auth/permission requirements and failure behavior, keeping it short of a 5.

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?

Front-loaded with the action, then the mechanics, then the return shape and limit. Mostly every sentence earns its place, though the 'Provide the absolute file path... and the target item ID' sentence largely repeats what the schema already declares.

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?

There is no output schema, so the description usefully names the return payload (file ID, name, size, download link), and the size cap plus two-step flow cover the essentials for a low-complexity 3-parameter tool. Permission/auth expectations are the only notable omission.

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 schema already documents all three parameters including the filename override default. The description restates the absolute-path and item-ID requirements without adding format or constraint detail beyond the schema, so the baseline of 3 applies.

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

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

States a specific verb+resource pair ('Uploads a local file and attaches it to a Podio item in one operation'), and no sibling tool competes for this action, so the agent can select it unambiguously.

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 invocation context ('Provide the absolute file path on disk and the target item ID') but never states when to prefer this over alternatives or any prerequisites/exclusions, e.g. whether the item must already exist. Usage is implied rather than guided.

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 discloses important behavior: automatic duplicate detection, that matches block creation, and how to force creation via skip_duplicate_check. It does not disclose permissions required, success response shape, or other mutation side effects beyond duplicate handling.

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 front-loaded with purpose and well organized into field-format and duplicate-detection blocks. Some field examples duplicate the schema almost verbatim, so it is slightly longer than strictly necessary, but the content is useful for a nested fields object.

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

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

For a nested, mutation-oriented tool with no annotations and no output schema, the description is largely complete: it explains field formatting, the get_app prerequisite, and duplicate behavior. It leaves gaps around success return values and permission/auth requirements, which are relevant because no annotations or output schema cover them.

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 schema coverage is already 100%, the description adds meaningful field-value semantics beyond the schema, including app_reference as an array of integer item IDs and the need to fetch app field settings before supplying category option IDs. The duplicate-check guidance also clarifies the behavior of skip_duplicate_check beyond its schema description.

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

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

The description states a specific verb and resource: "Creates a new item in a Podio app." This clearly distinguishes creation from sibling operations such as podio_update_item, podio_get_item, and podio_delete_item.

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 strong prerequisites and conditional behavior: call podio_get_app first to learn field types, and do not create when duplicates are found unless skip_duplicate_check is explicitly justified. It does not explicitly name podio_update_item as the alternative for modifying an existing record, which keeps it from 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?

With no annotations, the description carries the full burden and does substantial work: it discloses the mandatory post-creation verification handshake (POST /hook/{hook_id}/verify/validate with {code}), without which the webhook would silently stay inactive, plus the URL reachability constraint. It omits auth/permission requirements and duplicate-creation 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?

Front-loaded with the purpose, then constraints, then the critical verification step, then event-type reference. Four sentences, each carrying distinct operational information, with no 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 4-required-param creation tool with no annotations and no output schema, the description covers the essential behavioral loop (create → receive code → validate) and valid type values. It leaves privilege requirements and the shape of the creation response implicit, but nothing critical blocks 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 100%, so the parameters are already documented in the schema. The description's event-type enumerations and HTTPS/port constraint largely mirror the schema text rather than adding new meaning, so this sits at the baseline.

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 ('Creates') and resource ('a webhook on a Podio app or space'), and the sibling names podio_list_webhooks and podio_delete_webhook make the create scope unambiguous. An agent can distinguish it from the read/delete webhook tools immediately.

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 conditions for use (must own a publicly-reachable HTTPS endpoint on port 80/443) and enumerates the valid event types per ref_type, which effectively routes the agent toward app vs space configuration. It stops short of naming alternatives or when-not-to-use, so it falls just below the top band.

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

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

With no annotations, the description carries the full burden and does disclose the two traits that matter most for a delete: the operation is permanent and irreversible, and it returns a deletion confirmation. It omits authorization/permission requirements and whether related data (comments, files) is also removed.

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, front-loaded with the destructive verb and the irreversibility warning, then the return value. No filler and nothing repeated from the 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 two-parameter delete with no output schema, the description covers action, irreversibility, and response shape, which is most of what an agent needs. Permission requirements and cascade behavior remain unstated, keeping it below 5.

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

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

Schema description coverage is 100%, so both item_id and silent are already documented in the schema. The description adds no extra parameter meaning (no ID format, no side effects of silent), so the baseline of 3 applies.

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

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

States a specific verb and resource ('Permanently deletes a Podio item'), which is enough to separate it from sibling mutations like podio_update_item and from podio_delete_webhook. It stops short of naming or contrasting any sibling explicitly, so a 5 isn't warranted.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives (e.g., clearing fields via podio_update_item rather than removing the record). The agent must infer the appropriate context entirely from the tool name.

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

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

With no annotations, the description carries the full burden and does well: it discloses that the operation is permanent, irreversible ('Cannot be undone'), and that it stops all event deliveries to the webhook URL. It does not cover permission/auth requirements or return behavior, but the destructive consequence is clearly surfaced.

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, front-loaded with the action and immediately followed by consequences. Every sentence earns its place with no padding.

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 single-parameter destructive tool with no output schema, the description supplies the essential context: permanence and the effect on event delivery. Only auth/permission expectations are unstated, a minor gap for this level of 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 100% and the schema already tells the agent the hook_id comes from podio_create_webhook or podio_list_webhooks. The description's 'by ID' adds nothing beyond the structured field, so the baseline 3 applies.

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

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

States a specific verb ('deletes') and resource ('webhook') with the lookup key ('by ID'), making it immediately distinguishable from sibling podio_create_webhook and podio_list_webhooks. An agent can tell what the tool does without opening the schema.

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

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

Usage is only implied: the agent infers you call this when a webhook is no longer needed. There is no explicit when-to-use framing, no prerequisites, and no mention of alternatives (e.g., that listing webhooks first is a way to obtain the ID). Adequate but with a clear gap.

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 burden and does disclose real behavioral traits: a stricter endpoint-specific rate limit (250/hr vs 1000/hr standard) and that results are paginated with a total count. It omits auth/scope requirements and any error behavior, which is why it stops short of a 5.

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 tight sentences, zero filler, and the core purpose plus the highest-risk constraint (text fields cannot be filtered) are front-loaded before the operational notes. The rate-limit warning is placed last where it belongs.

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 does cover the return shape ('paginated results with total count'), the filter-key constraint, and the rate limit for a 7-parameter nested-object tool. Auth requirements and behavior on invalid field_ids remain unstated, leaving a small 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?

Schema coverage is 100%, so the baseline is 3 and the schema already documents filter value shapes and sort options. The description adds genuine value on top by stating filter keys must be numeric field_ids and telling the agent where to obtain them (podio_get_app), plus which sort keys are legal.

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

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

States a specific verb and resource ('Filters items in a Podio app by field conditions') and immediately bounds the mechanism (field conditions, not full-text), which separates it from podio_search_app and from podio_filter_items_by_view. An agent can pick this tool without opening the schema.

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

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

Gives an explicit when-not with a redirect: 'Text fields cannot be filtered — use search tools instead', plus a provenance pointer ('numeric field_ids ... from podio_get_app'). It never names podio_filter_items_by_view as the alternative for saved-view filtering, so the sibling routing is only half covered.

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 behavioral burden. It discloses the important trait that filtering criteria are opaque and view-defined, but says nothing about permissions/scopes, result shape, or whether the view's criteria can be overridden or combined with additional filters.

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, front-loaded with the core behavior, followed by the mechanism and the prerequisite. Every sentence earns its place with no 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 read-only list tool with a fully documented schema but no output schema and no annotations, the description covers the essential mechanics well. It stops short of describing what is returned or any limits beyond what the schema states, which is a minor 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?

Schema description coverage is 100%, so all seven parameters are already documented in the schema; baseline 3 applies. The description reinforces that only pagination and sorting need to be supplied but adds no format or constraint detail 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?

States a specific verb (filters) and resource (items) with the distinguishing mechanism: a saved Podio view supplies the criteria. This differentiates it from podio_filter_items in practice, though it never names that sibling, so the contrast must be inferred.

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

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

Gives a clear prerequisite workflow ('Use podio_list_views first to discover available view IDs') and clarifies the division of labor: the view supplies filter conditions, the caller supplies pagination/sorting. No explicit when-not guidance, but the usage context is unambiguous.

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

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

With no annotations, the description carries the full burden and does substantial work: it discloses the shape of the response (field types, settings, option IDs) and a tool-specific gotcha about category fields' settings.options. It does not state that this is a non-mutating read or mention permission/auth requirements, but the return semantics are well explained.

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 what is returned, then the critical usage rule. Slightly redundant, since 'learn the field structure' restates the earlier field-definition mention, and the all-caps IMPORTANT banner is heavier than needed, but there is little waste.

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?

There is no output schema, so the description must convey return values, and it does so concretely, including the category-field option ID detail an agent needs before writing items. Missing only peripheral information such as error behavior or auth requirements, which is minor for a read-only lookup.

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 single app_id parameter is already documented in the schema, including its provenance ('from podio_list_apps'). The description adds no format or constraint detail beyond the schema, so the baseline 3 applies.

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

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

States a specific verb and resource ('Returns full app details') and enumerates exactly what comes back: field definitions with types, settings, and option IDs. This distinguishes it from sibling lookups like podio_list_apps, which only list app IDs.

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

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

Gives an explicit precondition: 'Always call this before creating items to learn the field structure,' which tells the agent when this tool is required rather than optional. It stops short of naming alternatives or stating when this call is unnecessary, but the primary usage trigger is unambiguous.

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 supplied, so the description carries the full disclosure burden. It does disclose sort order (ascending by creation time), returned fields (author, timestamp, text), and pagination behavior, but says nothing about authentication requirements, rate limits, or whether it is strictly read-only.

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 tight sentences with no filler; the core action and result shape are front-loaded and the pagination note follows. 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?

There is no output schema, and the description compensates by naming the fields returned and their order. Combined with complete schema coverage on all three parameters, an agent has what it needs, though an explicit read-only statement would round it out.

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% and each parameter (limit, offset, item_id) is already documented with defaults, so the baseline is 3. The description's mention of limit/offset adds the pagination intent but no syntax or default detail 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?

States a specific verb and resource ('Retrieves all comments on a Podio item') plus ordering, so the agent knows exactly what comes back. It does not explicitly name the sibling it complements (podio_add_comment), but the read-vs-write distinction is unambiguous from the verb.

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 only guidance is 'Use limit/offset for pagination on items with many comments', which is a usage hint rather than a when-to-use/when-not rule. No conditions distinguishing this from podio_get_item or other read tools are given, so selection guidance 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?

With no annotations, the description carries the full burden, and it does disclose a non-obvious side effect: the item is NOT marked as viewed, preserving notifications. That is genuinely valuable behavioral context an agent could not infer. It stops short of covering auth requirements, error behavior, or the returned payload shape.

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, no filler. The core purpose leads, with the optional parameter and the notification side effect following in a logical order. Every sentence 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 read tool with full schema coverage and no output schema, the description covers purpose, the optional narrowing parameter, and the key non-obvious side effect. Only the absence of any hint about failure modes or return contents keeps it from being fully 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?

Schema coverage is 100%, so both parameters are already documented, including the 'reduce response size' rationale for fields. The description largely restates that, adding the external_id/field_id distinction that the schema also carries, so it meets but does not exceed the baseline.

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

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

States a specific verb and resource ('Retrieves a Podio item by ID'), which cleanly separates it from list/filter siblings like podio_filter_items and podio_list_apps. The agent knows exactly what it gets back without opening the schema.

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

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

Usage is only implied by the 'by ID' framing; there is no explicit statement of when to prefer this over podio_filter_items or podio_filter_items_by_view. The fields-array advice is parameter guidance rather than 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?

With no annotations, the description carries the full burden, and it does disclose that the tool authenticates and makes a live API call plus what it returns (display name, email, rate limit status). It never states whether the call is side-effect-free or whether it consumes rate limit quota, which is the one meaningful gap for a diagnostic tool.

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

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

Three short sentences, front-loaded with the core action, then the return payload, then the usage instruction. Every sentence earns its place with 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?

With no output schema, the description compensates by naming the returned fields (display name, email, rate limit status). For a zero-parameter, no-annotation diagnostic tool, nothing an agent needs in order to call it 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?

The tool takes zero parameters, so the baseline of 4 applies. There is nothing for the description to clarify beyond the empty schema, and it correctly adds no parameter noise.

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

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

States a specific verb and resource: verifying that the MCP server can authenticate with Podio and make an API call. This is unambiguous and clearly distinct from every sibling tool, none of which is a diagnostic/health check.

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?

Explicitly prescribes when to use it: 'Use this tool first to confirm the server is working before using other tools.' That is clear sequencing guidance. It stops short of a 5 only because there are no real alternatives to exclude, so no when-not guidance is offered.

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 it does disclose the return shape (name, ID, status) for each app. However, it says nothing about pagination, ordering, permissions/auth requirements, or whether inactive apps are omitted by default (that is only in the schema). Useful but incomplete behavioral context for a read tool.

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

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

Three short sentences, front-loaded with the core behavior and with zero filler. The output-shape and downstream-usage notes each add distinct value rather than restating the 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 simple read-only listing tool with no output schema, the description covers purpose, return fields, and downstream usage, which is nearly sufficient. It leaves minor gaps around pagination and default exclusion of inactive apps, though the latter is handled by the 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 coverage is 100%, so both parameters (space_id, include_inactive) are already documented in the schema, which sets the baseline at 3. The description's "within a space" and mention of "status" loosely echo these parameters but add no format or default detail 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?

States a specific verb and resource ("Returns all apps within a space") and scopes it to a space, which cleanly separates it from podio_list_spaces and the singular podio_get_app. It stops short of naming those siblings explicitly, so the differentiation is inferable rather than 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?

The sentence "Use app IDs to get field definitions or work with items" explains what to do with the output, which implies this is a discovery step, but it never says when to choose this tool over podio_get_app or podio_list_spaces, nor any preconditions. Usage is implied rather than guided.

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

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

With no annotations, the description carries the full burden. It usefully discloses scope (only orgs the authenticated user belongs to, implying an auth requirement) and the response shape (name, type, spaces), but says nothing about pagination, ordering, or whether an empty result is possible.

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 what it returns and followed by the routing hint. No filler or restated boilerplate.

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 no-parameter discovery tool with no output schema, the description does the necessary work by sketching the return (name, type, spaces) and its role as an entry point. Only pagination/volume behavior is left unstated.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the schema is trivially complete. Baseline 4 applies.

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

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

States a specific verb and resource (list organizations) plus the scope (those the authenticated user belongs to), and enumerates the returned fields (name, type, spaces). It is clearly distinguishable from sibling list tools such as podio_list_spaces and podio_list_apps.

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?

"Use this as the starting point to discover workspaces" gives a clear context for when to reach for this tool versus the more granular space/app listers. It stops short of explicit when-not or prerequisite 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?

With no annotations, the description carries the full disclosure burden. It does add value by stating the result set is scoped to spaces the authenticated user can access and that each entry carries a name and ID, but it omits pagination, ordering, rate-limit, or permission-failure behavior for a list operation.

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, front-loaded with the resource and scope, then the return shape, then the downstream workflow. Every sentence carries information and none is 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?

With no output schema, the description usefully outlines the return payload (name and ID per space), and the single required parameter is fully covered by the schema. It is close to complete for a simple read-only list tool, missing only pagination/result-size expectations.

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 single org_id parameter is already documented with its provenance ('from podio_list_organizations'). The description only reinforces that spaces are grouped 'within an organization,' adding no syntax or format detail beyond the schema, so the baseline 3 applies.

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

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

The description names a specific verb+resource ('Returns all spaces (workspaces)') and scopes it to the authenticated user within an organization, which distinguishes it from the app/item siblings. It stops short of explicitly contrasting itself with podio_list_organizations or podio_list_apps, but the resource 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?

There is no explicit when-to-use statement or when-not-to-use exclusion. Usage is only implied through the workflow hint 'Use space IDs to list apps,' which tells the agent where the output feeds next but not when this tool should be chosen over alternatives.

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

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

No annotations are provided, so the description carries the full burden. It usefully discloses the return payload (view IDs, names, item counts), but says nothing about pagination, permission requirements, or whether standard views differ structurally from custom ones. Adequate but with clear gaps for a read-only listing tool.

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

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

Three short sentences: what it does, what it returns, and how to use the result. Front-loaded and every sentence earns its place with no 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?

With no output schema, the description correctly compensates by enumerating the returned fields, and the two-parameter schema is fully covered. The only minor gap is not mentioning that standard views can be excluded by default behavior, though the schema already documents that.

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 both app_id and include_standard_views are already documented with their purposes and default. The description adds no parameter-level detail beyond what the schema provides, which is the expected baseline 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?

States a specific verb and resource ("Lists all saved views for a Podio app") and goes further to name the returned fields, so the agent knows exactly what it gets. It also distinguishes itself from the downstream sibling by naming podio_filter_items_by_view as the consumer of its output.

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 a clear downstream recipe: take the view IDs and pass them to podio_filter_items_by_view. It does not state when to prefer this over podio_filter_items or podio_search_app, but the intended role in the workflow is unambiguous.

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 behavioral burden itself. It discloses the return fields (ID, status, event type, URL), which is genuinely useful, but says nothing about permissions, pagination, rate limits, or ordering for a list operation.

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 tight sentences: the first states what is listed and where, the second states what comes back. Nothing is wasted and the key information is front-loaded.

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

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

For a simple two-parameter read tool with fully covered schema descriptions and no output schema, the description is nearly sufficient, especially since it summarizes the return shape. Only pagination and result-size behavior are left unspecified.

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 ref_id and the ref_type enum already documented, so the baseline is 3. The description reinforces that the target is an app or space but adds no format or syntax detail 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 and resource ('Lists all webhooks registered on a Podio app or space') and states the scoping entities. It is clearly distinguishable from the sibling create_webhook and delete_webhook tools, though it never names them 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?

There is no explicit when-to-use or when-not-to-use guidance, nor any mention of alternatives. The agent must infer from the name alone that this is the inspection path for existing webhooks rather than creation or deletion.

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

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

With no annotations, the description carries the full burden and does substantial work: it discloses the return shape (title, type, direct link), the titles-only limitation, the hard 20-result cap, the pagination mechanism, and a 250 calls/hour rate limit. Missing only auth/permission expectations and whether ref_type changes the returned 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?

Four short sentences, front-loaded with the core purpose and then the constraints, with no filler. The 20-result cap and offset note duplicate the schema, which is the only mild waste.

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 usefully describes what comes back and warns that only titles are returned, plus caps and rate limits. It says results are 'items and tasks' while ref_type also permits file and status, leaving a small inconsistency about what content types can surface.

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 limit, offset, query, app_id and ref_type are already documented in the schema. The description restates the 20-result cap and offset pagination but adds no syntax, format, or defaulting nuance beyond the schema; baseline 3 applies.

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

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

States a specific verb and resource ('Searches within a specific Podio app by keyword') and scopes it to an app, which implicitly separates it from a global search. It never names the sibling podio_search_global, so an agent must infer the app-vs-global split rather than being told.

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

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

Gives clear conditional guidance: results are titles only, so use podio_get_item for full field values, and use offset for pagination. It stops short of naming exclusions or contrasting with podio_filter_items / podio_search_global, so the when-not-to-use case is left implicit.

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, and it delivers: results are titles/context only, max 20 per call, offset-based pagination, and a rate limit of 250 calls/hour versus 1000 for other tools. It stops just short of describing ordering or ref_type behavior nuances, but the operational envelope is well disclosed.

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?

Purpose is front-loaded, followed by return shape, the retriever handoff, pagination, and the rate-limit caveat. Each sentence carries distinct information despite some mild emphasis repetition around 'titles and context only'.

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 steps in to describe the returned fields (title, type, direct link, app/space/org context) and their limitations. Combined with pagination, rate limits, and the sibling handoff, an agent has everything needed 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 description coverage is 100%, so the baseline is 3. The description reiterates the 20-result cap and offset pagination that the schema already states, adding no syntax or format detail beyond the structured fields.

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 (searches) and resource (all accessible Podio content by keyword), and names the return payload. It also distinguishes itself from siblings by asserting it is 'the only way to search text fields' and contrasting with podio_filter_items.

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?

Explicitly routes the agent: use podio_get_item to retrieve full field values, and notes podio_filter_items cannot do text search. Covers when-to-use and which sibling to pick instead, leaving little 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?

With no annotations, the description carries the full burden. It usefully discloses non-obvious partial-update semantics ('omitted fields are left unchanged'), which is real behavioral value. However, it says nothing about side effects like notifications/webhook triggers, permission requirements, or whether updates are reversible.

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 filler, and the key partial-update constraint is front-loaded right after the purpose. Nothing needs trimming and nothing important is buried.

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

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

For a mutation tool with no annotations and no output schema, the description covers the core update semantics but omits side effects, auth/permission expectations, and error behavior (e.g., what happens if item_id is invalid). Adequate but with clear 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 description coverage is 100%, so all three parameters (item_id, fields, silent) are already documented in the schema, establishing a baseline of 3. The description's only addition is the cross-reference that fields use the same format as podio_create_item, which is helpful but marginal.

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

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

States a specific verb and resource ('Updates field values on an existing Podio item') and scopes it to existing records, which separates it from podio_create_item. It stops short of explicitly contrasting itself with other item-mutating siblings such as podio_delete_item, but the intent 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?

Usage is implied by 'existing' item versus the create path, and it cross-references podio_create_item for field formatting. There is no explicit when-to-use/when-not guidance, no mention of prerequisites (item must exist, app permissions), and no routing among the other item tools.

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