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 does not disclose that the tool writes a report file to disk (via output_path), whether the source image is ever modified, or what permissions are required — a significant gap for a tool with a filesystem side effect.

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

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

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity is part of why behavioral and usage context is missing.

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 5 parameters, no output schema, and no annotations, the description should explain the write-to-file behavior and output handling. Instead it covers only the headline purpose, leaving the agent without the context needed to call it safely.

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 each parameter including the format enum is documented in the schema itself, so the baseline is 3. The description adds no parameter detail beyond the schema, and actually sits in mild tension with the json-only format, which is not 'human-readable text'.

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 (Generate) and resource (human-readable text reports from XMP metadata in images), which clearly separates it from read_image_metadata and embed_image_metadata. It does not explicitly name the sibling it replaces, so it falls just short of a 5.

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

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

The description offers no when-to-use guidance, no prerequisites, and never mentions alternatives such as read_image_metadata for simply inspecting values. An agent must infer the use case entirely from the name and purpose.

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 mentions 'with validation' but doesn't describe what validation happens (schema validation? error handling?), whether it writes to storage (output_path suggests side effect), what happens on validation failure, or whether it requires external services like Supabase. For a tool with an optional storage write and validation, this is a significant omission.

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 efficient sentence with no waste, though it's a bit terse given the tool's complexity. It front-loads the core action and result. Could benefit from slightly more structure but remains concise.

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

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

For a tool with nested objects, optional storage write, validation, and no output schema, the description is incomplete. It doesn't explain return format (even without an output schema, the agent needs to know what happens on success/failure), how validation errors are surfaced, or the relationship to sibling validation tools. The schema covers parameters but behavioral context 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?

Schema description coverage is 100%, so the schema documents all five parameters thoroughly, including the metadata object, output_path, schema_type enum, pretty_print, and include_wrappers. The description adds no parameter details beyond what the schema already provides. Baseline 3 is appropriate 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 a specific verb+resource: 'Create standalone XMP metadata packet from metadata object with validation.' Clear what it does. It does not differentiate from siblings like validate_metadata_schema or embed_image_metadata, which also deal with metadata conversion/validation, so it falls short of the 5 benchmark.

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 when-to-use, when-not-to-use, or alternative guidance. It doesn't clarify whether this is used before embedding, or how it differs from validate_metadata_schema. The description mentions validation but doesn't direct the agent to use validate_metadata_schema separately or explain the relationship.

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 discloses only that stream processing is used, which hints at memory-efficient handling of large files, but says nothing about write/mutation effects, whether the source image is modified, overwrite behavior at output_path, permissions, or failure modes.

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

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

A single front-loaded sentence with no filler. It is efficient, though the brevity leaves nothing to say about behavior or usage, which sits at the edge of under-specification rather than tight conciseness.

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?

This is a mutation tool with five parameters, a nested object, no annotations, and no output schema, so the description must carry behavioral context. It omits what the tool returns, whether the source is preserved, whether output_path is overwritten, and how the three metadata schemas differ.

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 five parameters, including the nested metadata object and the schema_type enum, are already documented in the schema. The description adds no syntax, format, or constraint detail beyond that, 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 (embed XMP metadata into images) plus the storage backend, so the agent knows it is a write-into-image operation. It reads clearly against read_image_metadata, but it never names or distinguishes itself from validate_metadata_schema or create_xmp_packet, which also touch metadata.

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 statement of prerequisites or ordering relative to siblings like create_xmp_packet or validate_metadata_schema, and no note on when this should be preferred over simply writing metadata directly. Usage is only inferred from the verb.

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 behavioral burden. It does not state whether extraction is read-only (implied but not declared), how large images are handled, whether failures on missing paths are returned or thrown, or what the output structure looks like. For a tool with zero annotation coverage, this is thin.

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

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

A single sentence, front-loaded with the verb and resource. It is efficient, though it omits any structural framing for parameters or behavior that would help an agent.

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 read-oriented extraction tool whose parameters are fully documented in the schema. However, with no annotations and no output schema, the description should disclose more about return shape and behavior to be complete for an agent.

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 four parameters, their defaults, and the enum for format. The description adds no syntax, format, or constraint details beyond the schema. Baseline 3 is appropriate when structured data 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 a specific verb (Extract) and resource (XMP and basic EXIF metadata) and scopes the source (images in Supabase Storage). It does not differentiate itself from siblings like embed_image_metadata or validate_metadata_schema, so it falls short of a 5.

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

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

No when-to-use, when-not-to-use, or alternative-tool guidance is provided. The agent must infer from the name that this is the read counterpart to embed_image_metadata, but the description offers no routing help.

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 must carry the full behavioral burden; it discloses the important non-mutating trait ('without embedding') and the supported schema families. However, it says nothing about required permissions, whether validation has side effects, or how failures surface, so it covers only part of what an agent needs.

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

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

A single, tightly worded sentence with the action and the key differentiator front-loaded. No filler or redundant restatement of the tool name.

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

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

For a validation tool with no output schema and no annotations, the description leaves a notable gap: it never says what validation returns (pass/fail, error list) or how results are reported. The core purpose is conveyed, but an agent lacks the return-value context needed to use it confidently.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters and the enum. The description's mention of 'lifestyle, product, and orbit schemas' merely echoes the schema_type enum values, adding no syntax, format, or default detail beyond the structured fields. Baseline 3 is appropriate.

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

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

States a specific verb (validate) and resource (metadata against ORBIT schemas) and adds the scope 'without embedding', which implicitly distinguishes it from the sibling embed_image_metadata. Clear enough that an agent can tell it apart from the read/create siblings, though it never names the alternatives.

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: you call this when you want to check metadata against a schema without writing it. The 'without embedding' clause hints at a when-not condition relative to embed_image_metadata, but there is no explicit when-to-use statement, no prerequisites, and no named alternatives.

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