adamamer20-paper-search-mcp-openai

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

No annotations are provided, so the description must carry full behavioral disclosure. While it specifies the PDF format, it omits critical side effects (file system writes), idempotency concerns (overwriting existing files), and the return value (file path vs. binary content). Lacks safety disclosures expected for a file-download 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 efficient with no wasted words, but the overall description is inappropriately terse given the lack of schema documentation and annotations. It prioritizes brevity over necessary operational 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?

Incomplete for a file-system-mutating tool. Without an output schema, the description should explain what is returned (e.g., local file path). Missing safety context regarding disk writes and no mention of error conditions (e.g., invalid paper ID, network failure).

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%, requiring the description to compensate for undocumented parameters. It fails to do so, providing no guidance on the `paper_id` format (e.g., '2101.00001' vs. URL) or the `save_path` behavior (default location, directory creation).

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 (Download) and resource (PDF of an arXiv paper), clearly identifying the target domain. However, it fails to differentiate from the sibling tool `read_arxiv_paper`, leaving ambiguity about whether this saves a file to disk versus extracting text content.

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 guidance on when to use this tool versus the `read_arxiv_paper` alternative or other download sources. Does not mention prerequisites such as valid arXiv ID formats or directory permissions for the save_path.

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 behavioral disclosure but fails to specify critical details such as whether the operation overwrites existing files, what the function returns (file path, binary content, or status), or error handling 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?

The description is extremely brief (6 words) and front-loaded with the action verb, avoiding unnecessary prose. However, given the undocumented parameters and behavioral gaps, it is underspecified rather than optimally 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 file system side effects and two parameters lacking schema descriptions, the description is incomplete. It omits the default save_path value, return value specification, and distinctions between this tool and the 'read' variant.

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 0% description coverage for its 2 parameters. While 'bioRxiv paper' provides minimal context for paper_id, the description does not compensate for the lack of schema documentation by clarifying the expected ID format (DOI vs bioRxiv ID) or save_path behavior (directory vs filename).

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 specific action (Download PDF) and target resource (bioRxiv paper), effectively distinguishing it from sibling tools like 'read_biorxiv_paper' and download tools for other repositories (arxiv, medrxiv, etc.).

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 no guidance on when to use this tool versus the 'read_biorxiv_paper' alternative or other sibling tools, nor does it specify prerequisites such as the required format for the paper_id parameter.

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 full burden but only discloses fallibility ('Attempt'). It omits critical behavioral details: file system side effects (directory creation, overwrites), return value format (file path? success boolean?), and CrossRef API interaction details.

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 core action and wastes no words, earning a baseline score. However, given the tool's complexity (file I/O, external API, 2 undocumented parameters), the description is inappropriately brief rather than efficiently 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?

Given high complexity (file system mutation, 20+ sibling tools with overlapping domains, zero schema documentation, no output schema), the description is insufficient. It lacks parameter specifications, output contract, and error handling guidance necessary for safe 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 0%, yet the description fails to compensate. It does not explain what 'paper_id' accepts (DOI? CrossRef internal ID?) or mention the 'save_path' parameter and its default './downloads' behavior, leaving both parameters effectively 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 specific verb 'download' and resource 'PDF of a CrossRef paper', clearly identifying the action and target. However, it could better distinguish from sibling 'read_crossref_paper' regarding whether this saves to disk versus returns content.

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 word 'Attempt' hints at potential failure modes (PDF unavailable, network errors), but provides no explicit guidance on when to use this versus 'read_crossref_paper' or 'get_crossref_paper_by_doi', nor prerequisites like write permissions for the save path.

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 behavioral disclosure. It fails to mention that this writes to the filesystem (via save_path), what the return value contains (file path, binary data, or status), error conditions (invalid paper_id, network failures), or whether operations are idempotent.

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 description is appropriately front-loaded with the core action and wastes no words. However, given the complete lack of schema descriptions and annotations, extreme brevity becomes a liability rather than a virtue.

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 zero schema descriptions, no annotations, and no output schema, the description is insufficient. It omits critical context including parameter details, side effects (filesystem mutation), return value structure, and error handling that the agent needs to invoke the tool 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%, requiring the description to compensate. While 'paper_id' is implicitly understood as the paper identifier, the description does not explain the expected format (numeric ID, URL, etc.) or that 'save_path' determines the local directory for the downloaded file.

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 ('Download'), format ('PDF'), and resource ('IACR ePrint paper'). It implicitly distinguishes from sibling 'read_iacr_paper' by specifying 'Download PDF' versus reading content, and from other download_* tools by naming the specific source 'IACR ePrint'.

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 no explicit guidance on when to use this tool versus alternatives like 'read_iacr_paper' (text extraction) or 'search_iacr' (discovery). While 'PDF' hints at file retrieval versus content parsing, explicit when-to-use guidance is absent despite clear functional siblings.

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 behavioral disclosure. While 'Download PDF' implies a filesystem write operation, the description omits critical details: idempotency, overwrite behavior, network dependencies, error handling for invalid IDs, and the fact that it saves to disk (implied only by the save_path parameter).

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 contains no fluff or redundancy. However, it borders on under-specification given the complete lack of schema descriptions and annotations, suggesting it is too concise for the information density required.

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 two undocumented parameters (0% schema coverage), no output schema, and no annotations, the four-word description is insufficient. It fails to explain parameter semantics, return behavior, or error conditions necessary for 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 0%, requiring the description to compensate significantly. It implicitly suggests 'paper_id' refers to a medRxiv identifier by mentioning the source, but provides no information about expected ID formats (DOI vs medRxiv ID) and completely omits explanation of 'save_path' behavior or default values.

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 ('Download') and resource ('PDF of a medRxiv paper'), clearly identifying the tool's function. However, it does not explicitly distinguish from the sibling tool 'read_medrxiv_paper', leaving ambiguity about when to download versus read.

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 no guidance on when to use this tool versus alternatives like 'read_medrxiv_paper' or 'fetch'. It fails to mention prerequisites such as obtaining a paper_id from search tools, or the expected workflow.

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?

The phrase 'Attempt to' hints at potential failure modes (e.g., paywalled or unavailable PDFs), which is useful. However, with no annotations provided, the description fails to disclose critical behavioral traits: return value format (file path vs. binary data), whether existing files are overwritten, or required authentication.

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 and free of fluff—every word serves a purpose. However, given the lack of structured documentation elsewhere, the description is arguably too terse rather than appropriately 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 file-download tool with zero annotations, no output schema, and zero parameter descriptions, the description is critically incomplete. It omits expected return values, error handling behavior, and file system interactions necessary for safe 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?

With 0% schema description coverage, the description must fully compensate but mentions neither 'paper_id' (nor its expected format like PMID) nor 'save_path'. The agent has no semantic guidance on parameter usage beyond the property names themselves.

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 (download) and resource (PDF of PubMed paper), distinguishing it from sibling tools like 'read_pubmed_paper' (likely text extraction) and 'search_pubmed' (discovery). However, it does not specify the expected format for the paper identifier (e.g., PMID vs. DOI).

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 guidance on when to use this tool versus alternatives. Given siblings like 'read_pubmed_paper', the agent cannot determine whether to download the PDF or read the paper content directly based on this description alone.

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 provided, so description carries full burden. It does not disclose that this writes to the local filesystem, what happens if the PDF is unavailable, whether directories are created automatically, or what the return value contains (file path vs. content).

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?

Extremely concise single sentence with no filler. However, the brevity contributes to underspecification given the lack of structured metadata elsewhere.

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?

Inadequate for a tool with 0% schema coverage and no output schema. Missing critical context: paper_id format, save_path behavior, return value structure, and error handling (e.g., paywalled or missing PDFs).

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?

With 0% schema description coverage, the description fails to compensate adequately. It implies 'paper_id' by referencing 'paper' but does not specify the ID format (S2 ID, DOI, etc.). It completely omits explanation of 'save_path' and its default value.

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 (Download) and resource (PDF of a Semantic Scholar paper). Distinguishes from siblings by specifying 'Semantic Scholar' (vs. arxiv/pubmed) and 'PDF' (vs. the 'read_semantic_paper' sibling), though it could more explicitly clarify the file-saving behavior.

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 guidance on when to use this tool versus the 'read_semantic_paper' sibling or how to obtain valid paper_ids (e.g., from search_semantic). No mention of prerequisites or error 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?

No annotations are provided, so the description carries full burden for behavioral disclosure. It implies a read-only operation via 'Fetch,' but fails to disclose return format, error handling, rate limits, or whether the content is cached or retrieved live. Lacks critical behavioral context for a tool interacting with multiple academic APIs.

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?

Extremely concise single sentence with no filler words. However, given the complexity (2 undocumented parameters, 20+ siblings, no output schema), this brevity results in underspecification. The sentence earns its place, but the description needs additional sentences to be 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?

Inadequate for the tool's complexity. With 2 undocumented parameters, no annotations, no output schema, and a crowded namespace of similar tools, the description must explain parameter semantics, return values, and tool selection logic. It provides none of these, leaving critical gaps in the agent's understanding.

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?

With 0% schema description coverage for the two parameters (id, document_id), the description must compensate but fails to do so adequately. While 'search result' implies the semantic meaning of one parameter, it does not explain the relationship between 'id' and 'document_id' (whether they are alternatives, sequential, or different ID types), leaving parameter selection ambiguous.

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 the basic action (Fetch) and resource (full document content) clearly, but fails to differentiate from the numerous sibling read_* and download_* tools (e.g., read_arxiv_paper, download_crossref). The phrase 'for a search result' hints at the input source but doesn't clarify if this is a generic tool or specific to certain sources.

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 explicit guidance on when to use this tool versus the source-specific read_* tools or the download_* tools. The phrase 'for a search result' implies it follows a search operation, but doesn't state prerequisites or contraindications (e.g., whether it requires a specific search tool first).

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 fails to disclose return format, error handling (e.g., invalid DOI), rate limits, or whether this makes external API calls. 'Get' is vague regarding whether it returns metadata, full text, or a download link.

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 description is appropriately brief and front-loaded with the essential action. However, extreme brevity contributes to the lack of necessary detail regarding siblings and parameters.

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 high sibling complexity (multiple CrossRef tools) and zero schema coverage, the description is minimally viable but incomplete. It should clarify distinctions from 'read_' and 'download_' variants and specify DOI format requirements.

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?

With 0% schema description coverage, the description partially compensates by identifying the DOI parameter. However, it lacks format guidance (e.g., whether to include 'doi:' prefix, valid DOI patterns) or examples, leaving the agent to guess the expected input format.

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 (Get), resource (paper), source (CrossRef), and identifier method (DOI). However, it does not fully distinguish from siblings like 'read_crossref_paper' or 'download_crossref', leaving ambiguity about the specific retrieval behavior.

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 the many alternatives (e.g., search_crossref when lacking a DOI, read_crossref_paper, or download_crossref). The agent must infer usage solely from the 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 provided, the description carries full burden but fails to disclose critical behavioral traits: whether the extracted text is returned directly or written to 'save_path', what format the extraction produces, error handling for invalid paper IDs, or rate limiting concerns.

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 description is efficiently structured and front-loaded with the core action. However, given the lack of schema documentation and output schema, this conciseness results in under-specification rather than effective communication.

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 zero schema descriptions and no output schema, the description inadequately explains the two parameters or the return value (text content vs. file path). For a tool with sibling alternatives, the failure to contrast with 'download_arxiv' leaves significant context 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 0%, requiring the description to compensate. While 'from an arXiv paper PDF' implies 'paper_id' is an arXiv identifier, the description completely omits explanation of 'save_path' (its purpose, file format, or default behavior), leaving significant semantic 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 provides a clear verb ('Read and extract') and resource ('arXiv paper PDF'), distinguishing it from sibling 'download_arxiv' by specifying text extraction rather than file retrieval. However, it doesn't explicitly clarify the relationship with 'download_arxiv' or specify what 'read' means in terms of return values.

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 provided on when to use this tool versus 'download_arxiv' (which likely retrieves the raw PDF) or versus other academic source readers. No prerequisites mentioned regarding paper_id format or availability.

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 provided, so description carries full disclosure burden. Mentions 'extract text content' indicating the return type, but fails to clarify if the PDF is temporarily downloaded, what format the extracted text takes, or whether 'save_path' stores the PDF or the extracted text. Missing mutation/safety disclosure.

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 9-word sentence is efficiently front-loaded with action verbs. No redundant phrases, though extreme brevity contributes to information gaps given the lack of schema documentation and annotations.

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?

Inadequate for a 2-parameter tool with zero schema descriptions and no output schema. Given the complexity of academic paper processing and the rich sibling tool ecosystem, the description should explain parameter relationships (e.g., paper_id sourced from search) and output format, which it does not.

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 has 0% description coverage, requiring description compensation. Implicitly identifies 'paper_id' as referring to bioRxiv papers, but provides no format guidance (DOI vs. bioRxiv ID). Completely omits 'save_path', leaving its purpose (PDF caching vs. text output directory) ambiguous.

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?

Specific verb phrase 'Read and extract text content' combined with specific resource 'bioRxiv paper PDF' clearly defines the scope. Effectively distinguishes from sibling 'download_biorxiv' (extraction vs. file saving) and from 'search_biorxiv' (processing specific ID vs. discovery), as well as domain-specific variants like 'read_arxiv_paper'.

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 explicit guidance on when to use this versus 'download_biorxiv' or prerequisites like obtaining paper_id from 'search_biorxiv'. While the name implies usage, the description lacks when/when-not instructions critical for an agent choosing between 20+ similar academic paper tools.

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 full burden but discloses minimal behavioral traits. While 'Attempt' hints at potential failure, it doesn't specify what happens on failure, what format extracted text takes, or whether the 'save_path' parameter writes a file to disk versus being a temporary cache.

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 efficiently structured and front-loaded with the primary action. However, it is undersized for the tool's complexity given the lack of schema documentation and output specifications.

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 0% schema coverage, no annotations, no output schema, and ambiguous interaction between 'extract text' and 'save_path', the description is materially incomplete. It fails to document parameters, return behavior, or side effects (file system writes) necessary for safe 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 0%, requiring the description to compensate, but it fails to clarify the expected format for 'paper_id' (DOI? CrossRef internal ID?) or the purpose of 'save_path' (directory for PDFs? text files?). The phrase 'CrossRef paper' marginally hints at paper_id's domain but provides insufficient specification.

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 the core action (read/extract text) and target resource (CrossRef paper), but the verb 'Attempt' introduces uncertainty without explaining failure modes. It also fails to clarify the tool's relationship to siblings like 'download_crossref' or 'get_crossref_paper_by_doi', leaving ambiguous whether this returns text content directly, saves a file, or both.

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 on when to use this tool versus the numerous sibling alternatives (e.g., 'download_crossref' vs 'read_crossref_paper'). No prerequisites, error handling, or selection criteria 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 provided, the description carries the full burden. It mentions 'extract text content' but fails to clarify the side effects implied by the 'save_path' parameter (whether it saves the PDF, the extracted text, or both), output format, or idempotency.

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 action and target, containing no wasted words. However, extreme brevity contributes to under-specification given the lack of supporting schema documentation.

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 zero schema descriptions, no annotations, and ambiguous interaction between text extraction and file saving, the description is insufficient. It omits critical details like paper ID format, return value structure, and file system side effects.

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%, requiring the description to compensate. It fails to explain the 'paper_id' format (e.g., whether it's the full URL, the year/number ID, or an integer) or the purpose of 'save_path' relative to the extraction behavior.

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 specific verbs ('Read and extract') and identifies the exact resource ('IACR ePrint paper PDF'), clearly distinguishing it from siblings handling arXiv, bioRxiv, or other sources.

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?

While the description identifies the target source (IACR), it provides no guidance on when to use this tool versus the sibling 'download_iacr' or versus 'read_arxiv_paper' and other read tools. No prerequisites or exclusion criteria are mentioned.

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 full behavioral burden but offers minimal disclosure. States that text extraction occurs but fails to explain the 'save_path' parameter's function (does it save the PDF or extracted text?), output format, idempotency, or rate limiting.

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?

Extremely efficient at nine words with no redundancy and clear front-loading of the core action. However, given the complete absence of schema descriptions and annotations, this brevity contributes to under-specification rather than effective communication.

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?

Inadequate for a tool with zero schema coverage and no annotations. The description omits critical details: the 'save_path' behavior, expected return value format, and differentiation from the download workflow. Lacking an output schema, the description should have explained what 'extract text content' actually returns.

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 completely fails to compensate. Neither 'paper_id' (required) nor 'save_path' (optional with default) are mentioned, leaving parameter semantics entirely 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?

Specific verb phrase 'Read and extract text content' clearly identifies the operation, while 'medRxiv paper PDF' precisely scopes the resource. Effectively distinguishes from sibling 'download_medrxiv' (extraction vs. retrieval) and other 'read_' tools via the medRxiv specificity.

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 guidance on when to use this versus 'download_medrxiv' or when text extraction is preferred over raw PDF retrieval. No prerequisites or conditions mentioned despite the sibling tool overlap.

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 fails to disclose critical behavioral traits: the return format (plain text, JSON, structured data?), file system side effects (what gets saved to save_path?), error handling for invalid IDs, or whether full text versus abstracts are returned. 'Extract text content' is the only behavioral hint.

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 description is appropriately front-loaded with the core action, but it is excessively terse for a tool with file system interactions and specific ID requirements. It wastes no words, yet omits essential information that should have been included.

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 zero schema coverage, no annotations, and no output schema, the description is inadequate. It lacks paper_id format specification, save_path behavior explanation, and return value documentation—critical gaps for a tool interacting with external APIs and local file systems.

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%—neither paper_id (is it PMID, DOI, or URL?) nor save_path (what format? creates directories?) are documented in the schema. The description completely fails to compensate by explaining these parameters, leaving both effectively 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 clearly states the tool reads and extracts text from PubMed papers, distinguishing it from search tools and other sources (arxiv, biorxiv). However, it does not explicitly differentiate from the sibling 'download_pubmed' tool, leaving ambiguity about whether this tool returns text content directly versus saving a PDF file.

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 'download_pubmed' or how to obtain the required paper_id (e.g., via search_pubmed). There are no prerequisites, format examples, or 'when-not-to-use' exclusions mentioned.

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 but fails to disclose key behaviors: it doesn't explain whether content is returned directly or saved to disk (despite the save_path parameter), doesn't specify the output format, and omits error handling for invalid paper IDs.

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 redundant words. However, it is underweight for the tool's complexity—critical information about parameters and behavior is missing, making it overly terse rather than appropriately 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?

Given zero schema description coverage, no annotations, and no output schema, the description is insufficient. It must explain parameter semantics and behavioral details (like file saving) that would normally be inferred from structured metadata, but it provides only the basic purpose statement.

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 0% description coverage (neither paper_id nor save_path are documented in the schema), yet the description fails to compensate by explaining what format paper_id expects (Semantic Scholar ID? DOI?), or what save_path controls (file type saved, directory creation behavior).

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 specific verbs ('Read and extract') and identifies the resource ('text content from a Semantic Scholar paper'). It distinguishes from sibling read_* tools by specifying the Semantic Scholar source, though it could clarify the difference between reading vs downloading semantic papers.

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 no guidance on when to use this tool versus siblings like 'download_semantic', 'search_semantic', or other read_* tools for different academic sources. No prerequisites or exclusion criteria are mentioned.

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 full burden but only discloses the 'aggregating across sources' behavior. It omits safety classification (read-only vs destructive), rate limits, specific source list, or return format details.

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 sentence efficiently conveys the core value proposition without redundancy, though extreme brevity contributes to under-specification given the lack of schema documentation.

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 zero schema descriptions, no annotations, no output schema, and a complex ecosystem of sibling search tools, the description is materially incomplete—it fails to clarify selection criteria, parameter usage, or response structure.

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% (neither query nor max_results have descriptions), yet the description fails to compensate by explaining parameter semantics, valid query syntax, or the default max_results behavior.

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 identifies the tool as a search utility that aggregates across sources, distinguishing it from single-source sibling tools like search_arxiv. However, it lacks explicit contrast with the 20+ specific search alternatives to guide selection.

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 'Deep Research compatible' phrase hints at a specific use case but provides no explicit when-to-use guidance or comparison against the numerous specific source search tools available as 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 provided, the description carries the full burden of behavioral disclosure but fails to mention read-only status, rate limits, query syntax capabilities, pagination behavior, or return value structure. It only states the basic action without any operational context.

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 wasted words, earning high marks for structural efficiency. However, given the lack of annotations, output schema, and presence of numerous siblings, it is inappropriately undersized for the complexity of the tool context.

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 annotations, no output schema, 0% schema coverage, and 16+ sibling tools including alternative search sources, the description should explain arXiv-specific search behavior, query operators, or result formats. It provides none of this necessary 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%—neither 'query' nor 'max_results' have schema descriptions. The description completely fails to compensate by providing semantics, query syntax guidance, or constraints (e.g., max_results defaults to 10).

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 resource (academic papers from arXiv), providing specific scope. However, it does not differentiate from sibling search tools like search_biorxiv or search_pubmed in terms of use cases or content types, merely repeating the repository name implied by the tool name.

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 no guidance on when to use this tool versus the generic 'search' tool, other domain-specific search tools (search_biorxiv, etc.), or how it relates to download_arxiv or read_arxiv_paper. No prerequisites or alternative selection criteria are mentioned.

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 fails to disclose whether the operation is read-only, what fields are searched (titles/abstracts/full-text), return format, pagination behavior, or rate limits.

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 four-word sentence is efficiently structured with no waste, though it is underspecified. Every word earns its place, but the extreme brevity harms completeness given the lack of schema documentation.

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 0% schema coverage and no output schema, the description is inadequate. It fails to explain what the query parameter accepts or what data structure is returned, leaving critical gaps for an agent trying to construct valid invocations.

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?

With 0% schema description coverage, the description must compensate by explaining parameters, but it completely omits them. No guidance on query syntax, boolean operators, or the max_results default behavior is provided.

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 resource (academic papers from bioRxiv). It distinguishes from siblings like search_arxiv and search_medrxiv by specifying the bioRxiv source, though it could clarify search scope (e.g., title vs. full-text).

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 explicit when-to-use guidance or alternatives are provided. While the bioRxiv naming implies use for biological preprints, the description doesn't clarify when to prefer this over search_pubmed or search_arxiv given the extensive sibling tool list.

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 of behavioral disclosure. While 'Search' implies a read-only operation, the description omits critical details such as whether authentication is required, rate limits, what fields are searched (title, abstract, author?), and what the return structure contains (DOIs, metadata, abstracts?).

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 six-word sentence with no redundancy. While appropriately sized for its content, the extreme brevity contributes to under-specification given the lack of schema documentation and annotations. It wastes no words but contains too few to be helpful.

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 rich ecosystem of sibling tools (16+ related search/read/download tools) and 0% schema coverage, the description is insufficient. It lacks guidance on the query interface, return format (critical for a search tool without output schema), and navigation of the CrossRef tool family. A user cannot determine what this returns versus what read_crossref_paper requires.

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 neither 'query' nor 'max_results' have descriptions in the input schema. The description fails to compensate for this gap by providing no information about parameter semantics—such as expected query syntax (boolean operators supported?), or the valid range/behavior of max_results.

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 ('Search') and resource ('academic papers from CrossRef database'), specifying the CrossRef source to differentiate from sibling search tools like search_arxiv. However, it fails to clarify the distinction between this tool and other CrossRef-specific siblings (read_crossref_paper, download_crossref, get_crossref_paper_by_doi).

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 no guidance on when to use this tool versus alternatives. It does not explain the difference between searching, reading, or downloading from CrossRef, nor when to prefer CrossRef over arxiv, pubmed, or other academic databases in the sibling list.

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 behavioral disclosure but reveals nothing about rate limits, authentication requirements, result format, pagination, or whether this is a real-time vs cached search.

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 and wastes no words, but given the lack of annotations and schema coverage, the description is undersized rather than appropriately 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?

With no output schema, zero annotations, and 0% schema coverage, the description inadequately covers the tool's behavior. It omits expected return structure, error handling, and parameter details necessary for 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 0%, so the description must compensate by explaining parameter semantics. It fails to do so, providing no guidance on query syntax (Boolean operators, author search, etc.) or max_results constraints despite having only two parameters.

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 identifies both the resource type ('academic papers') and the specific source ('Google Scholar'), which distinguishes it from sibling search tools like search_arxiv or search_pubmed.

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 no guidance on when to prefer Google Scholar over the 15+ sibling academic search/download tools available on this server (e.g., search_arxiv, search_pubmed). No alternatives or prerequisites are mentioned.

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 full responsibility for behavioral disclosure but offers minimal context. It does not explain what data is searched (titles vs abstracts), what the fetch_details parameter controls (critical given default true), expected response format, or rate limiting. The agent lacks information to predict side effects or output structure.

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 consists of a single, efficient sentence with no redundant or filler text. While appropriately brief, it arguably errs on the side of under-specification given the complexity of the tool and lack of schema documentation.

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 three parameters with zero schema coverage, no annotations, no output schema, and a specialized academic domain (cryptography), the description is inadequate. It lacks explanation of IACR scope, pagination behavior, result metadata fields, or the impact of fetch_details on response size and latency.

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%, requiring the description to compensate for undocumented parameters. It fails to explain the query parameter format (keywords? Boolean operators?), max_results constraints, or the critical fetch_details boolean (what 'details' are fetched?). The agent has no semantic guidance beyond the property names themselves.

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 identifies the action ('Search') and resource ('academic papers from IACR ePrint Archive'), and specifies the unique repository to distinguish from sibling search tools like search_arxiv. However, it fails to differentiate from read_iacr_paper or download_iacr, leaving ambiguity about whether this returns metadata or full text.

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 provided on when to use this tool versus alternatives like read_iacr_paper (which likely retrieves full text) or the generic search tool. No mention of prerequisites, rate limits, or query syntax requirements.

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 behavioral disclosure but fails to mention critical traits such as rate limits, query syntax support, pagination behavior, or whether results include full abstracts. The implied read-only nature of 'search' is the only behavioral hint.

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 and contains no filler words, with every word earning its place. However, the extreme brevity contributes to under-specification in other dimensions, though structurally it is efficient.

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 0% schema coverage, lack of output schema, and absence of annotations, the description is inadequate for the tool's complexity. The 6-word description provides no guidance on return format, error handling, or parameter details necessary for 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 0%, and the description completely fails to compensate by explaining parameter semantics. It does not describe what the 'query' parameter expects (keywords, boolean operators, phrases) or clarify the 'max_results' parameter's behavior beyond the schema's default value.

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 resource (academic papers from medRxiv), and distinguishes itself from sibling search tools by explicitly naming the medRxiv repository. However, it lacks specificity about search capabilities (e.g., full-text vs. title search) that would elevate it to 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 provides no guidance on when to use this tool versus the numerous sibling search tools (search_arxiv, search_pubmed, etc.) or how it relates to download/read operations for medRxiv papers. No prerequisites or exclusion criteria are mentioned.

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 of behavioral disclosure. It fails to specify what the tool returns (PMIDs, abstracts, metadata?), whether it performs live API calls, or pagination behavior. The description only confirms an external search occurs.

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?

Extremely concise with zero redundant words or filler. However, it is under-specified rather than efficiently complete. The single sentence structure is appropriate but lacks the necessary density of information for a tool with zero schema documentation.

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?

Inadequate given the lack of output schema and 0% parameter coverage. The description should explain return values (citation list vs full text) and parameter details, but provides neither. For a search tool with 2 parameters and no return schema, the description is insufficient.

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% (neither 'query' nor 'max_results' have descriptions), yet the description does not compensate. It fails to document the default value of 10 for max_results, expected query syntax (PubMed query grammar), or that results are limited/bounded.

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 clear verb ('Search') and resource ('academic papers from PubMed'), distinguishing it from sibling search tools by specifying the PubMed source. However, it misses the opportunity to clarify that PubMed specializes in biomedical/life sciences literature, which would help agents select it over search_arxiv or search_google_scholar.

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 guidance on when to use this tool versus the 16 other search/download siblings. Does not mention prerequisites, rate limits, or that PubMed requires specific query syntax. Agents cannot determine if this is preferable to search_google_scholar or read_pubmed_paper.

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 of behavioral disclosure. It fails to specify what the search returns (e.g., metadata, abstracts, citation counts), pagination behavior, rate limits, or whether authentication is required. The term 'Search' implies a read operation but lacks critical behavioral context.

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 redundant words. However, given the high complexity (0% schema coverage, numerous siblings, no output schema), the extreme brevity constitutes under-specification rather than optimal 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 three undocumented parameters (0% schema coverage), no output schema, no annotations, and a crowded sibling space with similar tools, the description is materially incomplete. It omits necessary context about parameter usage, return values, and tool selection criteria.

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?

With 0% schema description coverage, the description must compensate but does not. It fails to document the 'year' parameter format, 'max_results' constraints, or 'query' syntax (e.g., boolean support). While 'Search' implies the existence of a query, it provides no semantic details for any of the three parameters.

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 resource (academic papers from Semantic Scholar), which identifies the specific corpus. However, it fails to distinguish when to use this tool versus the generic 'search' sibling or other academic search tools like 'search_arxiv' or 'search_google_scholar'.

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 no guidance on when to use this tool versus the numerous sibling search tools (search_arxiv, search_pubmed, search_google_scholar, etc.) or the generic 'search' tool. There are no stated prerequisites or exclusions.

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