Remote Camera

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

With no annotations, the description carries the behavioral burden. It discloses reusability and the exact URL format, which is helpful. However, it does not mention any potential side effects, expiration, rate limits, or whether this creates a persistent record. For a generation tool with no annotations, this is adequate but not rich.

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

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

Three concise sentences, each adding meaningful information. The description is front-loaded with the core action and includes practical format details without any fluff.

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

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

For a simple single-parameter tool with an output schema, the description covers purpose, usage, reuse, and output format. It doesn't explicitly link to the sibling polling tool, so there is a small gap in the overall workflow, but the tool itself is well described.

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

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

The schema description covers the 'message' parameter fully (instructions to display, max length), so the description adds only marginal value by implying the message is shown on the capture page. Baseline of 3 is appropriate given 100% schema coverage and no additional parameter details in the 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 clearly states the verb 'Generate' and the resource 'URL for remote camera upload', and explains its purpose (sending to a mobile device for photo capture). It also explicitly distinguishes from the sibling tool 'poll_for_upload' by focusing on generation rather than polling.

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 concrete usage context ('Send this URL to a mobile device to capture and upload a photo') and notes that the URL can be reused. It doesn't explicitly mention poll_for_upload as an alternative or next step, so it stops short of full exclusions, but the context is clear.

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

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

No annotations are supplied, so the description carries the full burden. It discloses the core behavior (blocking poll, presigned URL on success, session reuse) but omits what happens on timeout, whether the call blocks for up to the timeout, and whether a failed poll returns an error or an empty result, all of which matter for a polling 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 action and the return value, then the reuse semantics. No filler, though the final sentence about reuse could be tightened or merged with the return-value sentence.

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?

An output schema exists, so return values need not be explained, and the four parameters are fully documented in the schema. The main remaining gap is failure and timeout behavior for a blocking poll, which is significant but limited given the otherwise strong structured coverage.

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

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

Schema description coverage is 100%, so the schema already documents session_id, timeout, not_etag, and modified_since. The description adds only a little: it reinforces that session_id drives repeated polling, but does not explain how not_etag or modified_since interact with repeat polls beyond what the schema states, 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?

The description states a specific verb and resource: poll an S3 bucket for a photo upload and return a presigned download URL when ready. It clearly differs from the sibling generate_upload_url, but it never names that sibling or states the sequencing relationship explicitly, so the differentiation is implicit 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?

It gives useful context that the same session_id can be polled repeatedly so the capture URL can be reused, which implies the polling loop pattern. However, it never says when to call this versus generate_upload_url, whether repeated polling is expected or discouraged, or what a caller should do after a timeout, leaving the workflow guidance incomplete.

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