AgentBridge

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. It only says 'status,' which weakly implies a read-only query, but it does not state what kind of status, whether there are side effects, or what information is returned. This leaves the agent relying on a reference.

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 short, but it is under-specified rather than genuinely concise. It only restates the tool name with slightly different wording and provides no extra context that would help an agent understand what the tool is for.

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?

The total description is a three-word phrase; it does not explain what the status represents, when to call it, or what operational context matters. Even though the output schema covers the return value, the use case and invocation intent are 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 input schema has zero parameters and schema coverage is complete, so there is no package information to document. The baseline for 0 parameters is 4, and the description does not need to compensate for any schema gaps.

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 'AgentBridge MCP status' is nearly a restatement of the tool name and lacks a clear verb indicating what the tool does, such as returns, checks, or reports. It identifies the topic but not the actual operation, and it does not differentiate the tool from siblings like fetch_asset or search_assets.

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 about when to use this tool versus alternatives. No context is given for when it should be called, such as before performing asset operations, or whether it is a health/readiness check. The sibling list makes this gap noticeable.

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 available, the description carries the behavioral burden. It implies a read-only operation via 'Retrieve' and names what is returned, but it does not disclose prerequisites, rate limits, authentication expectations, or any side effects. It is neither misleading nor richly transparent.

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

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

The description is a single sentence that is front-loaded and contains no filler. Every phrase provides relevant information about the tool's purpose.

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 a single required parameter and an output schema, the description is close to sufficient, but it would benefit from clarifying what asset_id ought to contain and when to use fetch_asset versus search_assets.

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 0% and the description does not explain asset_id beyond the tool's name and context. An agent must infer that asset_id identifies a knowledge asset, getting no guidance on format, source of IDs, or its relation to 'payment endpoint'.

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 verb 'Retrieve' plus the object 'AgentBridge knowledge asset metadata and payment endpoint' clearly states the operation and its resource. It does not explicitly differentiate itself from sibling tools like search_assets or fetch_web_page, 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?

The description gives no guidance on when to use this tool instead of search_assets, fetch_web_page, or agentbridge_status. It does not mention how asset_id is obtained or when a caller should prefer this tool over a sibling.

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 must account for behavioral recompensate. It discloses the core behavior: fetching a remote web page and transforming it to Markdown. However, it does not mention whether this is read-only, whether there are auth or rate-limit implications, or how failures are 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?

One sentence, front-loaded and free of noise. Every word earns its place. It could add one or two more sentences for behavioral context without becoming excessive, but as given the structure is tight.

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 a one-parameter schema and an output schema already describing return values, the description provides a baseline: fetch a URL and get reader Markdown. It is not fully complete because there is no guidance about constraints, prerequisites, or intended scenarios, but it suffices for a simple fetch tool.

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 has one parameter with no description coverage (0%), and the tool description does not explicitly clarify the meaning or format of the 'url' parameter. Although the parameter name is intuitive, the description doesn't compensate for the coverage gap with any additional constraints.

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?

Specifically names the operation (fetch), the resource (webpage content), and the output format (clean Markdown), which makes the tool's function unambiguous and distinct from asset-related siblings. It doesn't explicitly reference a sibling or say which tool NOT to choose, but the target resource differs enough from 'asset' and 'status'.

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 information about when to use this tool versus siblings such as fetch_asset, or when not to use it. The description is purely about what it does, leaving the decision of which tool to use to the agent's 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 must carry the behavioral burden, but it only says 'Search available AgentBridge knowledge assets.' It provides no details about search semantics (exact/fuzzy, case sensitivity), pagination, result format, or what happens with an empty default keyword. This is a thin description for a tool that yields results.

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

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

The description is a single, focused sentence that is easy to parse and free of filler. It loses a mark because it is so terse that it omits key contextual details; still, for the stated purpose it is appropriately brief.

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 a single optional parameter and no output schema in the description, the tool is fairly simple. But the complete absence of guidance on result scope or fallback behavior makes it incomplete for an agent deciding between this and fetch_asset. The presence of an output schema partially compensates.

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 0% and the description does not mention the keyword parameter at all. With 1 optional param (keyword, default ''), the description should explain what is being matched (asset name, content, metadata) and the effect of leaving it blank. It adds no value beyond what the schema already states.

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 'Search available AgentBridge knowledge assets.' uses a specific verb (Search) and a clear resource (AgentBridge knowledge assets), making the tool's purpose clear. It implicitly differentiates from siblings like fetch_asset through the contrasting verb 'search' vs 'fetch', though it does not explicitly name the difference.

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 clearly implies the tool is for searching knowledge assets when you need to find one, which is useful. However, it gives no explicit guidance on when to use this vs fetching an asset directly or when not to use it, leaving the choice to inference from the sibling names.

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