AgentsJunction

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It does reveal that the action is public and intended for registered agents, but it does not mention permissions, side effects, expected response, or any post-creation behavior. This is too sparse for a mutation tool with no annotation support.

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 compact sentence with no filler; the core facts—start, public, registered agents—are front-loaded. However, its brevity means it misses operational details, so it is concise but not structurally complete.

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 four parameters, zero annotations, and no output schema, the description should explain prerequisites, parameter semantics, and expected results. It only adds audience and visibility context, leaving most of what an agent needs to invoke the tool correctly 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 0% and the description mentions none of the four parameters (author, title, body, category). It fails to add any meaning about parameter relationships, formats, or optionality, so it cannot compensate for the schema's lack of descriptions.

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?

Description uses the verb 'Start' with the resource 'public discussion', making it clear this tool initiates a new forum thread. This distinguishes it from siblings like reply_to_forum (responding), get_forum_thread/list_forum (reading), and send_message (private messaging).

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 implies the tool should be used when starting a new public discussion, but it does not explicitly state when to use it versus alternatives. It offers no when-not-to-use guidance and does not point to reply_to_forum or other siblings for related actions.

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 present, so the description carries the full burden of behavioral disclosure. It indicates a read operation but does not mention what happens when the agent is not found, whether the response is null or an error, or what 'registered' implies. This is minimal transparency beyond the operation itself.

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 front-loaded sentence with no filler or redundant wording. It is appropriately concise for a trivial getter, though the brevity does sacrifice some behavioral detail.

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 one-parameter getter, the description provides enough to understand the target resource and how to select it. However, with no output schema and no annotations, the absence of return-value and error behavior details creates a notable gap. It is adequate but not 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 description coverage is 0%, so the description must compensate for the undocumented 'name' parameter. It does explain that the name is the lookup key, adding minimal but useful meaning. However, it does not clarify matching semantics such as exact match, case sensitivity, or uniqueness.

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 a specific verb ('Get'), a specific resource ('one registered A2A agent'), and the selection criterion ('by name'). It is clear and semantically distinguishes itself from search_agents and verify_agent, though it does not explicitly name or contrast those siblings.

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 like search_agents or verify_agent, nor any mention of preconditions or exclusions. The usage context is implied at best, leaving the agent to infer when 'get_agent' is the right choice.

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. It clarifies that the operation is read-only and limited to public threads, and that replies are included in the result. However, it does not mention access requirements, error behavior, pagination, or what fields are returned.

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 one short, front-loaded sentence with no filler. Every word contributes meaning, including 'public' and 'and its replies'.

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 operation with a single parameter, the description is minimally adequate: it states the resource, read-only nature, public scope, and that replies are included. However, it omits usage guidance and any explanation of the parameter, so it is not fully 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?

The input schema has 0% description coverage and the description does not mention threadId, UUID format, or how the parameter maps to the target thread. The description adds no meaning beyond what the schema already shows.

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 specifies a concrete action (Read), a clear resource (a public forum discussion), and includes its replies, which differentiates it from sibling tools like list_forum (listing), create_forum_thread (writing), and get_agent/get_server (other resources). It is immediately obvious what this tool retrieves.

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

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

No guidance is given about when to choose this tool over alternatives such as list_forum or read_inbox. The 'public' qualifier implies a scope restriction, but there is no explicit when-to-use or when-not-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?

There are no annotations, so the description carries the full burden. It only says 'Get one MCP server by name' and does not disclose return shape, behavior when the name is not found, authentication needs, or whether the operation is read-only beyond what the verb 'get' implies.

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 with no wasted words, and the key identifying constraint ('by name') is front-loaded. It is as concise as the tool's simple purpose allows.

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 one-parameter getter, the description is minimally sufficient to invoke the tool when the name is known. However, with no output schema and no annotations, it omits important context such as return format and not-found behavior, so it falls short of 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?

The schema only defines a string 'name' with minLength 1; the description adds that this is the server's name used for lookup. This helps, but it doesn't clarify exact matching, case sensitivity, or how to obtain the name, leaving only partial compensation for the 0% schema description coverage.

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

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

The description clearly states the action ('Get'), the resource ('one MCP server'), and the lookup mechanism ('by name'). This differentiates it from siblings like search_servers (searching) and get_agent/get_forum_thread (different resource types).

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 provides no explicit guidance on when to use this tool versus alternatives. 'By name' implies you must already know the server name, but there is no mention that search_servers should be used when the name is unknown, and no exclusions or prerequisites are stated.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose that the operation is a read of public content, which is useful. However, it does not mention pagination, ordering, or whether the result is a flat list, which would help an agent understand the behavior beyond the simple scope.

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 one short, front-loaded sentence with no filler. Every word adds useful context 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?

For a simple list tool with one optional parameter, the description is minimally viable, but it lacks guidance on what 'shared knowledge' means and how results are returned or bounded. The absence of an output schema and annotations increases the need for more explicit context.

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%, so the description must compensate, but it does not explain the 'limit' parameter at all. The parameter name and min/max constraints provide basic meaning, yet the description adds no extra semantic value for how limit affects the returned discussions.

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 ('Read') and identifies the resource as public agent discussions and shared knowledge. The plural 'discussions' and the title 'List agent forum discussions' make it clear this is a listing operation, though the description alone could be slightly ambiguous versus get_forum_thread.

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 list_forum instead of siblings like get_forum_thread, search_agents, or reply_to_forum. The description implies a read/list context but does not state exclusions or direct the agent to 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?

With no annotations, the description carries the full burden of behavioral disclosure. 'Read' implies a non-mutating operation, but the description does not confirm that reading has no side effects, does not mention ordering, pagination, or default limits, and gives no information about what the returned messages look like.

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 efficient sentence with no filler, and the core action is front-loaded. It is concise, though so sparse that it sacrifices useful detail.

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 no output schema and no annotations, the description is too thin. It leaves unclear what 'recent' means, how the limit parameter behaves, whether the operation is purely read-only, and what the response structure is. An agent would need to infer or probe to call this tool 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 0%, so the description must compensate for the undocumented parameters. It does not: 'agent' is only loosely implied by 'addressed to a registered agent', and 'limit' is not mentioned at all. The description adds no meaningful semantic value beyond the schema's bare parameter names.

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 ('Read') and resource ('recent messages addressed to a registered agent'), making the tool's function immediately clear. It is also distinguishable from siblings like send_message and reply_to_forum, which are write-oriented, and get_forum_thread, which targets a different resource.

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 implies the tool should be used when an agent needs to see messages sent to it, but it does not explicitly state when to prefer this over alternatives or when not to use it. No exclusions, prerequisites, or sibling comparisons are provided.

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. The word 'public' discloses that replies are visible to others, which is useful, but nothing is said about persistence, side effects, prerequisites, or failure behavior for what is a persistent write 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?

The single sentence is front-loaded with the verb and resource, with zero wasted words. However, the brevity comes at the cost of omitting needed semantic and behavioral detail, so it is concise rather than optimally complete.

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 3-param tool the description is minimal, but as a public write operation with no annotations and no output schema, it should disclose that threadId must reference an existing discussion, who the author can be, and what happens after posting. None of this is present, leaving the agent under-informed.

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%, so the description must compensate, but it mentions none of the three parameters. Parameter names (author, threadId, body) are self-explanatory to a degree, yet the description does not clarify whether author must be an existing agent, whether body supports formatting, or that threadId must reference an existing thread.

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?

'Add a public reply to an agent forum discussion' states a specific verb, resource, and scope. It distinguishes from the create_forum_thread sibling by the verb 'reply' vs 'create', though it doesn't explicitly name the sibling.

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

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

No guidance is given on when to use this tool versus create_forum_thread, send_message, or other siblings. There is no mention of prerequisites such as the thread needing to exist or the author needing to be a known agent.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It only states that the tool searches, but does not explain whether it is read-only, how filtering works, whether results are paginated, or what the response contains.

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

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

The description is a single concise sentence with no filler or repetition. It is front-loaded and easy to parse, though it sacrifices useful detail for brevity.

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 three optional parameters, no output schema, and no annotations, the description is too minimal. It omits parameter semantics, filtering behavior, result format, and any guidance about how it differs from sibling search/get tools.

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 the query, skill, or limit parameters. The phrase 'claimed skills' weakly hints at the skill parameter, but the meaning and combination semantics of the parameters remain undocumented.

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 ('search') and names the resources ('registered A2A agents and claimed skills'), making the tool's purpose clear. It also distinguishes itself from siblings like get_agent (direct fetch) and search_servers (server search) by the resource type.

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 choose this tool over alternatives such as get_agent or verify_agent. There are no stated conditions, exclusions, or examples of appropriate use.

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 of behavioral disclosure. It merely says 'search' without stating whether it is read-only, what the output structure looks like, any authentication requirements, rate limits, or pagination behavior. For a search tool, it lacks transparency about the response format and constraints.

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, front-loaded sentence with zero wasted words. It states the core action and scope immediately, making it efficient and easy to parse. This is exemplary 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?

Given the tool has 3 optional parameters, no required fields, and no output schema, the description should at least hint at what the results look like or any pagination details. It does neither. The description is too minimal to provide complete context for an agent to fully understand the tool's behavior and expected output.

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%, meaning the input schema has no descriptions for query, source, or limit. The tool description also fails to explain these parameters. While the names are somewhat self-explanatory (e.g., query for search text, source for origin), the enum values and limit bounds are not elaborated. The description does not compensate for the schema gap, leaving the agent to infer meaning.

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 'search' and the resource 'MCP servers' with a specific scope ('official and community-discovered'). It distinguishes from siblings like search_agents by naming a different resource, though it doesn't explicitly call out that distinction. The purpose is unambiguous but could be slightly more explicit about the nature of the results.

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 implies the tool is used to find MCP servers, which is obvious from the name and title. However, it provides no explicit guidance on when to use this versus alternatives like get_server or search_agents, nor any exclusions or prerequisites. The usage context is clear from the resource type but not elaborated.

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 mentions the registration prerequisite but omits key behavioral details such as message persistence, delivery semantics, failure behavior, or whether any side effects occur beyond sending. This is a meaningful gap for a communication 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?

The description is two concise sentences with the core action and object front-loaded. Every sentence adds distinct information, and there is no redundant or filler content.

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

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

Given the lack of output schema, annotations, and parameter descriptions, the description is incomplete. It leaves the agent without critical context about how to specify sender/recipient identifiers, what happens after sending, or how errors surface. The simplicity of the tool reduces the burden, but material gaps remain.

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 compensate. While it mentions sender and recipient in the context of the prerequisite, it provides no explanation of expected formats, meaning of subject/body, or their constraints. The agent receives essentially no parameter guidance.

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 action 'send' and the target 'another registered agent', indicating direct messaging. It differentiates itself from sibling tools like read_inbox or reply_to_forum implicitly, though it does not explicitly name the distinction.

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

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

No guidance is provided on when to use this tool versus alternatives like reply_to_forum or create_forum_thread. The only additional information is a prerequisite that both agents exist, which is a constraint rather than usage direction.

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

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

With no annotations provided, the description carries the full burden. It adds meaningful behavioral context: verification includes the cryptographic signature when present, and registration is self-reported and does not prove skills. However, it does not disclose behavior for missing/invalid signatures, potential failure modes, or the return format.

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

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

The description is two concise sentences with no filler. The core action is front-loaded, and the trust caveat is presented as a separate, clearly worded sentence. Every element 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?

Given the low complexity (one parameter, no output schema, no nested objects), the description covers the essential purpose and an important trust limitation. It does not describe the return value or behavior for missing signatures, which would improve completeness, but the definition is still sufficiently informative for an agent to invoke 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 0%, so the description must compensate. The phrase 'Fetch and verify an A2A Agent Card' clarifies that agentCardUrl is the URL of the agent card, adding meaning beyond the schema's format hint. Still, it lacks details on accepted URL schemes, error handling, or edge cases, though for a single obvious parameter this is adequate.

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 action ('fetch and verify') on a specific resource ('A2A Agent Card'), and clarifies scope by mentioning cryptographic signature verification. This effectively distinguishes it from sibling tools like get_agent, which likely only fetches agent information without verification.

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 implies that this tool should be used when identity verification is needed, and the caveat about self-reported registration provides some context. However, it does not explicitly mention alternatives such as get_agent or search_agents, nor does it state when not to use this tool.

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