Git Repo Browser MCP

Server Quality Checklist

Profile completionA complete profile improves this server's visibility in search results.

Latest release: v1.0.0
Disambiguation4/5
Most tools have distinct purposes targeting specific Git operations, but some overlap exists. For example, git_commit_history and git_commits_details both handle commit information retrieval, and git_clean and git_reset both involve repository state management, which could cause minor confusion. However, descriptions clarify their specific focuses, keeping ambiguity manageable.
Naming Consistency5/5
All tool names follow a consistent snake_case pattern with a 'git_' prefix and descriptive verb_noun combinations. Examples include git_checkout_branch, git_merge_branch, and git_search_code. This uniformity makes the tool set predictable and easy to navigate for an agent.
Tool Count2/5
With 27 tools, the count is excessive for a Git repository browser. Many tools cover niche or low-level operations that could be consolidated, such as git_lfs and git_lfs_fetch, or git_attributes and git_hooks. This bloated set may overwhelm agents and complicate task selection.
Completeness5/5
The tool set provides comprehensive coverage of Git operations, including cloning, branching, committing, merging, searching, and configuration. It supports full CRUD and lifecycle management for repositories, with no obvious gaps. Agents can perform end-to-end workflows without dead ends.
Average 2.9/5 across 27 of 27 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
View related servers

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior2/5
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. 'Perform git clean operations' implies a destructive action (cleaning/removing files), but it doesn't specify what gets removed (e.g., untracked files), safety implications, or output behavior. It lacks critical details like whether this is irreversible or what happens during execution, which is essential for a tool with potential data loss.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's appropriately sized for a tool with a clear name, though it could be more informative. The structure is front-loaded but lacks elaboration that might be needed given the tool's complexity and potential risks.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a destructive Git operation with 4 parameters), no annotations, and no output schema, the description is incomplete. It doesn't explain what 'git clean' does, its effects, or return values, leaving significant gaps for safe and effective use. A more detailed description is needed to compensate for the lack of structured data.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all four parameters (repo_path, directories, force, dry_run). The description adds no parameter-specific information beyond what's in the schema, such as explaining interactions between parameters (e.g., how 'force' and 'dry_run' affect safety). This meets the baseline score of 3 when schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Perform git clean operations' states the action but is vague about what 'git clean' specifically does. It doesn't distinguish this tool from sibling Git tools like git_reset or git_stash, which also perform repository maintenance operations. However, it does identify the correct verb ('perform') and resource ('git clean operations'), avoiding tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., a clean working directory), when it's appropriate (e.g., removing untracked files), or what sibling tools might be better for related tasks (e.g., git_reset for tracked files). This leaves the agent with minimal context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Create a tag' implies a write operation but doesn't disclose behavioral traits like whether it requires Git authentication, if it's destructive to existing tags, rate limits, or what happens on success/failure. It lacks essential context for safe use.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise with 'Create a tag.'—just three words. It's front-loaded but under-specified, not wasting words. However, it could benefit from slightly more detail without losing efficiency.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given complexity (Git operation with 4 params, no annotations, no output schema), the description is incomplete. It doesn't cover return values, error cases, or behavioral nuances. For a mutation tool with no structured support, it should provide more context to be adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents parameters (repo_path, tag_name, message, annotated). The description adds no meaning beyond the schema, not explaining parameter interactions (e.g., message usage with annotated). Baseline 3 is appropriate as schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Create a tag' states the basic action but is vague about what kind of tag (Git tag) and lacks specificity. It doesn't distinguish from siblings like git_commit or git_branch_diff, though it's somewhat clear from the name. It's not tautological but remains minimal.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., being in a Git repo), compare to siblings like git_commit for marking points, or specify use cases (e.g., for releases). The description alone offers no usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Manage' implies both read and write operations, but it doesn't disclose permissions needed, side effects, error handling, or output format. For a tool with multiple actions (including create/enable/disable), this lack of behavioral detail is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a tool with multiple actions (including mutations like create/enable/disable), the description is incomplete. It doesn't explain what 'manage' entails, return values, or behavioral constraints, leaving the agent under-informed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all 4 parameters. The description adds no parameter-specific information beyond what's in the schema. Baseline 3 is appropriate when the schema does all the work.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Manage git hooks in the repository' states a general purpose but is vague. It specifies the resource ('git hooks') and implies a verb ('manage'), but doesn't clarify what 'manage' entails or how it differs from sibling tools like git_config or git_commit. It's better than a tautology but lacks specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives is provided. The description doesn't mention prerequisites, context, or exclusions. With many sibling tools available, this omission leaves the agent without clear direction on tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Manage' implies mutation capabilities, but it doesn't disclose behavioral traits like whether actions require specific permissions, what 'install' does to the repository, or how errors are handled. This is a significant gap for a tool with multiple actions including writes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, though it could benefit from more detail given the lack of annotations and output schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of managing Git LFS with multiple actions, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, error conditions, or behavioral nuances, leaving significant gaps for an agent to understand how to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, providing clear documentation for all parameters. The description adds no additional meaning beyond the schema, which already details repo_path, action with enum values, and patterns. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Manage Git LFS (Large File Storage)' states the general purpose but is vague about specific actions. It mentions the resource (Git LFS) but lacks a specific verb beyond 'manage', and doesn't distinguish from sibling tools like git_lfs_fetch which handles a specific LFS operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. The description doesn't mention when to choose this over git_lfs_fetch or other Git tools, nor does it specify prerequisites or contexts for LFS management.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'Create' implies a write operation, it doesn't specify whether this creates a new file (destructive to disk space), what permissions are required, whether it overwrites existing files at output_path, or what happens on failure. For a tool with 5 parameters and no annotation coverage, this is a significant gap in 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly concise at 6 words, front-loading the essential action and resource. Every word earns its place with zero waste or redundancy, making it immediately scannable and understandable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 5 parameters, no annotations, no output schema, and operates in a complex Git ecosystem with 25 sibling tools, the description is insufficiently complete. It doesn't explain what the tool returns (archive creation confirmation? error messages?), doesn't address behavioral aspects like file overwriting or permissions, and provides no context about when to use it versus other Git operations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description mentions 'zip or tar' which corresponds to the 'format' parameter, adding minimal value beyond what the schema already provides (which has 100% coverage with detailed descriptions for all 5 parameters). Since schema_description_coverage is high, the baseline is 3 - the description doesn't add meaningful parameter semantics beyond what's already documented in the structured schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create') and resource ('git archive') with format specification ('zip or tar'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its many Git-related siblings (like git_commit, git_pull, etc.), which would require mentioning it's specifically for creating compressed archives rather than other repository operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. With 25 sibling Git tools, there's no indication of when git_archive is appropriate compared to git_commit (for saving changes), git_pull (for fetching updates), or other archive-related operations that might exist elsewhere in the system.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states 'manage' without detailing what that entails. It doesn't explain whether operations are read-only or mutating, what permissions are needed, how errors are handled, or what the output looks like, leaving significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, output format, and usage context, making it inadequate for an agent to fully understand how to invoke and interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters. The description adds no additional meaning beyond implying that attributes are managed for files, which aligns with but doesn't expand upon the schema. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('manage') and resource ('git attributes for files'), making the purpose understandable. It distinguishes from siblings like git_config or git_lfs by focusing specifically on attributes, though it doesn't explicitly contrast with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. The description doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the action parameter alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 offers minimal information. It states what the tool does ('Get blame information') but doesn't describe the output format (e.g., line-by-line authorship data), potential errors (e.g., if the file doesn't exist), or side effects (likely read-only, but not explicitly stated). This is inadequate for a tool with no annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core purpose ('Get blame information for a file'), making it immediately scannable and easy to parse. Every word earns its place, and there's no redundancy or unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a Git blame operation (which involves version control data), lack of annotations, and no output schema, the description is insufficiently complete. It doesn't explain what 'blame information' entails (e.g., commit hashes, authors, timestamps per line), potential use cases, or error conditions. For a tool with no structured behavioral hints, this leaves significant gaps for an agent to operate effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with clear documentation for all three parameters (repo_path, file_path, rev). The description adds no additional parameter semantics beyond what the schema provides, such as explaining how 'blame information' relates to these inputs. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't need to.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get blame information') and resource ('for a file'), making the purpose immediately understandable. It distinguishes itself from siblings like git_commit_history or git_search_code by focusing specifically on blame data rather than general history or search. However, it doesn't explicitly differentiate from all siblings (e.g., git_read_files might also read file content).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention when blame information is needed (e.g., for debugging or attribution), what alternatives exist among siblings (like git_commit_history for broader history), or any prerequisites (e.g., needing a valid repository). This leaves the agent to infer usage context from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 mentions comparing branches and showing changed files, but doesn't cover critical aspects like whether this is a read-only operation, potential side effects, authentication needs, rate limits, or output format. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core purpose and avoids redundancy, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of Git operations and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the output looks like (e.g., list of files, diff details), error conditions, or how it interacts with other tools. For a tool with 4 parameters and no structured behavioral hints, more context is needed to ensure proper usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema fully documents all parameters (repo_url, source_branch, target_branch, show_patch). The description adds no additional parameter semantics beyond implying a comparison between two branches, which is already clear from the schema. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Compare two branches and show files changed between them.' It specifies the verb 'compare' and resource 'branches' with the outcome 'show files changed.' However, it doesn't explicitly differentiate from sibling tools like git_merge_branch or git_rebase, which might also involve branch comparisons, keeping it from a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. With many sibling tools available (e.g., git_merge_branch, git_rebase, git_commit_history), there's no indication of specific use cases, prerequisites, or exclusions. This lack of context makes it harder for an AI agent to select this tool appropriately.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral context. It mentions creation and checkout but doesn't disclose critical traits: whether it's destructive (e.g., discarding uncommitted changes), authentication needs, error conditions (e.g., branch already exists), or side effects. This is inadequate for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core action ('Create and/or checkout'), making it easy to parse. Every word earns its place, and there's no redundant or verbose phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a mutation tool with 4 parameters, the description is incomplete. It lacks behavioral details (e.g., what happens on failure), output expectations, or error handling. For a Git operation that can alter repository state, this leaves significant gaps for an AI agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are fully documented in the schema. The description adds no meaning beyond the schema—it doesn't explain interactions (e.g., how 'create' and 'start_point' relate) or provide examples. Baseline 3 is appropriate since the schema does the heavy lifting, but the description doesn't compensate with additional insights.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Create and/or checkout a branch' clearly states the tool's purpose with specific verbs (create, checkout) and resource (branch). It distinguishes from siblings like git_merge_branch or git_delete_branch by focusing on branch switching/creation, but doesn't explicitly differentiate from git_branch_diff or git_reset which might involve branches indirectly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., needing a clean working directory), when to prefer git_switch or git_checkout for specific Git versions, or how it relates to siblings like git_merge_branch for branch operations. Usage is implied but not articulated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the tool creates a commit but fails to mention critical behaviors: whether it requires staged changes, if it's a destructive operation (e.g., overwriting history), authentication needs, or error conditions (e.g., empty commit). This is a significant gap for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence that efficiently conveys the core action without unnecessary words. It is front-loaded with the main purpose ('Create a commit'), making it easy to parse. Every part of the sentence earns its place by specifying the required input.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a Git commit operation (a mutation with potential side effects), no annotations, and no output schema, the description is incomplete. It lacks information on prerequisites (e.g., staged changes), behavioral details (e.g., error handling), and return values, leaving the agent under-informed for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with clear documentation for both parameters (repo_path and message). The description adds minimal value beyond the schema by implying the message is used for the commit, but it doesn't explain parameter interactions (e.g., how repo_path affects the commit location) or provide examples. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create a commit') and the required input ('with the specified message'), making the purpose immediately understandable. It distinguishes this from sibling tools like git_commit_history or git_commits_details, which retrieve commit information rather than creating one. However, it doesn't explicitly mention the repo_path parameter, which slightly limits specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. For example, it doesn't clarify prerequisites (e.g., staged changes must exist), when to use git_commit versus git_commit_history for viewing commits, or how it relates to tools like git_push for sharing commits. This leaves the agent without context for appropriate tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 mentions retrieving 'detailed information' but fails to specify critical behaviors like whether this is a read-only operation, if it requires authentication, rate limits, pagination handling, or error conditions. For a tool with 8 parameters and no annotation coverage, this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded with the core purpose, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, no output schema, no annotations), the description is incomplete. It doesn't address behavioral aspects like safety, performance, or error handling, and provides minimal guidance on usage context. For a data retrieval tool with filtering options, more context about limitations or typical use cases would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 8 parameters thoroughly. The description adds minimal value beyond the schema by mentioning 'full messages and diffs' (hinting at include_diff parameter), but doesn't provide additional syntax, format details, or usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('Get') and resource ('detailed information about commits'), including what information is retrieved ('full messages and diffs'). It distinguishes from siblings like git_commit_history by specifying 'detailed' information, though it doesn't explicitly contrast with all similar tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_commit_history or git_branch_diff. It lacks explicit when/when-not instructions or named alternatives, leaving usage context implied at best.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states 'configure' but doesn't clarify if this is a read/write operation, what permissions are needed, whether changes are reversible, or if it affects the repository state. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without waste. It's appropriately sized for a tool with clear parameters, and every word earns its place by stating the essential action and target.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a configuration tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error conditions, or behavioral nuances like how scope affects changes. For a mutation tool, more context is needed to ensure safe and correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters (repo_path, scope, key, value) with descriptions and enums. The description adds no additional meaning beyond implying configuration of settings, which is redundant with the schema. Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't compensate or add value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('configure') and resource ('git settings for the repository'), making the purpose evident. It distinguishes this tool from siblings like git_commit or git_pull, which perform different operations. However, it doesn't specify what types of settings (e.g., user.name, core.autocrlf) or how it differs from similar tools like git_hooks, keeping it from a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., needing an initialized repo), exclusions (e.g., not for remote config), or compare it to siblings like git_attributes for file-specific settings. Usage is implied only by the general purpose, with no explicit context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 mentions deletion but fails to explain critical behaviors: whether deletion is permanent, if it affects remote repositories, what happens to unmerged changes, or error conditions like trying to delete a protected branch. This leaves significant gaps for a destructive operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with zero wasted words. It front-loads the core action and resource efficiently, making it easy to parse quickly without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive tool with no annotations and no output schema, the description is insufficient. It doesn't cover behavioral risks, return values, or error handling, leaving the agent under-informed about the implications of using this tool in a Git workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all three parameters (repo_path, branch_name, force). The description adds no additional meaning beyond the schema, such as explaining when to use 'force' or format examples for branch names. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Delete') and resource ('a branch from the repository'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like git_branch_diff or git_merge_branch, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_reset or git_revert, nor does it mention prerequisites such as ensuring the branch isn't currently checked out. It simply states what the tool does without contextual usage information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions fetching from a remote but doesn't disclose critical details like network requirements, error handling, what happens if objects already exist locally, or whether it modifies the working directory. This leaves significant gaps for agent understanding.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with zero wasted words. It's front-loaded with the core action and target, making it highly efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'fetching LFS objects' entails operationally, what the expected outcomes are, or how errors might manifest. Given the complexity of Git LFS operations and lack of structured context, more detail is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all three parameters. The description adds no additional parameter context beyond implying remote fetching, which is already covered by the tool name and purpose. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('fetch') and target ('LFS objects from the remote repository'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like git_lfs or git_pull, which might have overlapping functionality with LFS operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_lfs or git_pull, nor does it mention prerequisites (e.g., needing an LFS-configured repository or remote connectivity). It lacks context about typical use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states what the tool does but omits critical details: whether it shows staged vs unstaged changes, output format, error handling for invalid paths, or performance implications. For a read operation with zero annotation coverage, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't explain what 'uncommitted changes' includes (e.g., modified, deleted, new files) or the return format, leaving gaps that could hinder an agent's ability to invoke and interpret results correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting the 'repo_path' parameter. The description doesn't add any parameter-specific details beyond what's in the schema, but since the schema is comprehensive, a baseline score of 3 is appropriate as it doesn't need to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('uncommitted changes in the working directory'), making the tool's purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'git_status' (if present) or explain how it differs from 'git_diff' operations, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 'git_status' or other change-tracking tools. It lacks context about prerequisites (e.g., needing a valid repo) or exclusions, leaving the agent to infer usage from the purpose alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 mentions merging but doesn't cover critical aspects like whether it requires authentication, potential conflicts and how they're handled, whether it's destructive to existing commits, rate limits, or what happens on failure. For a mutation tool with zero annotation coverage, this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with zero wasted information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what happens during conflicts, whether it creates merge commits by default, what the return value or success/failure indicators are, or how it interacts with other Git operations. Given the complexity of merging, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already fully documents all 4 parameters. The description doesn't add any semantic meaning beyond what's in the schema (e.g., it doesn't explain merge strategies or conflict resolution related to parameters). Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('merge') and resources ('source branch into the current or target branch'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like git_rebase or git_pull, which also involve branch integration, leaving some ambiguity about when this specific merge operation is preferred.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_rebase or git_pull, nor does it mention prerequisites (e.g., clean working directory) or exclusions. It simply states what the tool does without contextual usage information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the action but doesn't disclose behavioral traits such as what happens on conflicts, whether it requires network access, if it modifies the working directory, or potential side effects. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and target, making it easy to parse. Every word earns its place, and there's no redundant or verbose phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a mutation operation with 4 parameters) and lack of annotations or output schema, the description is incomplete. It doesn't cover behavioral aspects like error handling, return values, or dependencies. For a Git pull tool, which can have significant side effects, more context is needed to guide safe usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters (repo_path, remote, branch, rebase). The description adds no additional meaning beyond what the schema provides, such as explaining parameter interactions or default behaviors. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Pull changes') and target ('from a remote repository'), which is specific and unambiguous. It distinguishes from siblings like git_push (which pushes changes) and git_merge_branch (which merges locally), though it doesn't explicitly name alternatives. The purpose is well-defined but lacks explicit sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., having a remote configured), when not to use it (e.g., if there are uncommitted changes), or refer to related tools like git_fetch or git_merge. Usage is implied by the action but without explicit context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 'push changes' implies a write/mutation operation, the description doesn't mention potential destructive effects (especially with force push), authentication requirements, error conditions (e.g., non-fast-forward errors), or what happens on success/failure. For a mutation tool with zero annotation coverage, this is inadequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and target, making it immediately understandable. Every word earns its place, and there's no unnecessary elaboration or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given this is a mutation tool with no annotations, no output schema, and multiple parameters, the description is incomplete. It doesn't address behavioral aspects like safety, authentication, error handling, or output format. While the schema covers parameters well, the description fails to provide the contextual information needed for safe and effective tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already fully documents all four parameters. The description adds no additional parameter information beyond what's in the schema properties. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('push changes') and target ('to a remote repository'), providing a specific verb+resource combination. It distinguishes itself from siblings like git_commit, git_pull, and git_merge_branch by focusing on the upload operation. However, it doesn't explicitly differentiate from all siblings (e.g., git_lfs_fetch also involves remote operations).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., needing commits first), when force pushing is appropriate, or how it differs from related tools like git_push_all or git_push_tags (if they existed). With siblings like git_commit and git_pull available, the lack of contextual guidance is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the tool reads file contents but doesn't mention critical behaviors like error handling (e.g., for non-existent files), authentication needs, rate limits, or output format. For a read operation with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse. Every part of the sentence earns its place by conveying essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (reading files from a Git repository), lack of annotations, and absence of an output schema, the description is incomplete. It doesn't address behavioral aspects like error cases, authentication, or what the return values look like (e.g., file contents as strings). For a tool with 2 parameters and no structured safety hints, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting both parameters (repo_url and file_paths). The description adds no additional semantic context beyond what's in the schema, such as examples or constraints (e.g., URL formats, path syntax). With high schema coverage, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Read the contents') and resource ('specified files in a given git repository'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like git_search_code or git_directory_structure that might also involve reading repository content, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., repository accessibility), exclusions (e.g., binary files), or comparisons to siblings like git_search_code for content searching or git_directory_structure for browsing. This leaves the agent without contextual usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the action but fails to mention critical traits: this is a destructive operation that rewrites commit history, requires careful handling to avoid data loss, and may involve conflict resolution. These omissions are significant for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any fluff. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex, destructive Git operation with no annotations and no output schema, the description is inadequate. It doesn't explain the rebase process, potential outcomes (e.g., conflicts, rewritten commits), or safety considerations, leaving the agent under-informed about critical behavioral aspects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters (repo_path, onto, interactive). The description adds no additional meaning beyond implying the 'onto' parameter's purpose, which is already clear from the schema. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('rebase') and target ('current branch onto another branch or commit'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like git_merge_branch or git_reset, which also modify branch history, so it falls short of a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_merge_branch or git_reset. It lacks context about prerequisites (e.g., clean working directory) or typical use cases (e.g., linearizing history before a pull request), leaving the agent with no usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. While 'reset' implies mutation, the description doesn't explain what 'reset' actually does, the implications of different modes (soft/mixed/hard), whether changes are destructive or reversible, or what happens to staged/unstaged changes. This is inadequate for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a tool with clear parameters and no complex behavioral nuances to explain.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a Git reset operation - which can be destructive and has multiple modes with different implications - the description is insufficient. With no annotations, no output schema, and behavioral details missing, the agent lacks crucial information about what this tool actually does, its safety profile, and what to expect from its execution.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description mentions 'specified commit or state' which aligns with the 'to' parameter, but adds no additional semantic context beyond what the schema provides. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('reset') and target ('repository to specified commit or state'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar sibling tools like git_revert or git_checkout_branch, which also modify repository state.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. With sibling tools like git_revert, git_checkout_branch, and git_clean that also modify repository state, the agent receives no help in choosing between them. There's no mention of prerequisites, typical use cases, or when-not-to-use scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions reverting but doesn't disclose whether this is destructive, requires specific permissions, affects remote branches, or handles conflicts. Key traits like safety and side effects are omitted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without redundancy. It is front-loaded and wastes no words, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a Git revert tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral outcomes (e.g., whether it creates a new commit, handles merges), error conditions, or return values, leaving significant gaps for agent understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema. The description adds no additional meaning beyond implying a 'commit or state' relates to the 'commit' parameter, but doesn't clarify semantics like format examples or the effect of 'no_commit'. Baseline 3 is appropriate given schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('revert') and resource ('current branch'), specifying the action of returning to a previous commit or state. It distinguishes from siblings like git_reset (which has different semantics) by focusing on revert operations, though it doesn't explicitly contrast with alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 git_reset or git_checkout_branch. The description lacks context about prerequisites (e.g., clean working directory) or typical scenarios for reverting versus other Git operations, leaving usage unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. While 'search' implies a read-only operation, the description doesn't mention important behavioral aspects like whether it requires repository access permissions, how it handles large repositories, whether results are paginated, or what format the output takes. This leaves significant gaps for a tool with 5 parameters.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized for a search tool and front-loads the core functionality without unnecessary elaboration, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a search tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the search returns (e.g., matches with line numbers, file paths), doesn't mention performance considerations for large codebases, and provides no context about error conditions or limitations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, providing good documentation for all 5 parameters. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline of 3 where the schema does the heavy lifting but doesn't compensate with extra insights.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Search for patterns in repository code' clearly states the verb ('search') and resource ('repository code'), making the purpose understandable. However, it doesn't specifically differentiate this tool from potential siblings like 'git_read_files' or 'git_directory_structure' that might also involve code examination, missing the highest clarity tier.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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. With many sibling tools available (e.g., git_read_files, git_commit_history), there's no indication of when pattern searching is preferred over other code inspection methods, leaving the agent without contextual usage cues.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. 'Create or apply a stash' implies mutation (creating or modifying stashes), but it doesn't clarify critical behaviors: whether operations are destructive (e.g., 'pop' removes a stash), permission requirements, error conditions, or what happens on success/failure. For a tool with multiple actions including potentially destructive ones like 'drop', this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at three words, front-loaded with the core purpose, and wastes no space. Every word earns its place by covering both creation and application of stashes, making it efficient for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a Git stash tool with multiple actions (some potentially destructive like 'drop'), no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, usage context, return values, or error handling, leaving significant gaps for an agent to operate safely and effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters (repo_path, action, message, index) with descriptions and defaults. The description adds no parameter-specific information beyond implying 'create' maps to 'save' and 'apply' to 'apply/pop', but this is minimal value. The baseline score of 3 reflects adequate coverage from the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Create or apply a stash' clearly states the verb ('create or apply') and resource ('stash'), making the purpose understandable. However, it doesn't explicitly differentiate this tool from sibling Git tools like 'git_commit' or 'git_reset', which also handle repository state changes, leaving room for confusion about when to use this specific stash functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., uncommitted changes), compare to other state-management tools like 'git_commit' or 'git_reset', or specify scenarios where stashing is appropriate (e.g., temporarily saving work before switching branches). This lack of context makes it hard for an agent to decide when to invoke it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the action ('track/stage') but doesn't explain what happens after staging (e.g., files become ready for commit), potential side effects (e.g., overwriting previous staging), or error conditions (e.g., invalid file paths). For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—a single sentence that directly states the tool's purpose without any fluff. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place, and there's no wasted verbiage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a mutation operation with 2 parameters) and lack of annotations or output schema, the description is incomplete. It doesn't cover behavioral aspects like what staging entails, error handling, or output format. While the schema covers parameters, the overall context for safe and effective use is insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents both parameters (repo_path and files). The description adds no additional meaning beyond what's in the schema—it doesn't clarify parameter interactions, constraints, or examples beyond the default value hint. This meets the baseline of 3 when the schema handles parameter documentation effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('track/stage') and resource ('specific files or all files'), making the purpose immediately understandable. It distinguishes the tool's function from siblings like git_commit or git_reset by focusing on staging changes. However, it doesn't explicitly differentiate from git_add (if present) or other staging-related tools, keeping it at 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 doesn't mention prerequisites (e.g., needing uncommitted changes), exclusions (e.g., not for untracked files if that's the case), or related tools like git_add or git_commit. Without such context, the agent must infer usage from the purpose alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 mentions cloning and returning a tree structure, but lacks details on performance (e.g., timeouts for large repos), side effects (e.g., local disk usage from cloning), error handling, or output format specifics. This leaves gaps in understanding the tool's behavior beyond basic functionality.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action and outcome: 'Clone a Git repository and return its directory structure in a tree format.' It avoids redundancy and wastes no words, making it highly concise and well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (cloning and structuring), no annotations, no output schema, and high schema coverage, the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage context, and output specifics, which are needed for full completeness in this scenario.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage for the single parameter 'repo_url', so the schema already documents it fully. The description does not add any extra meaning, syntax examples, or constraints beyond what the schema provides (e.g., acceptable URL formats like HTTPS vs. SSH). Thus, it meets the baseline for high schema coverage without compensating value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Clone a Git repository and return its directory structure in a tree format.' It specifies the verb ('clone' and 'return') and resource ('Git repository'), but does not explicitly distinguish it from siblings like 'git_read_files' or 'git_archive', which might have overlapping functionality. This makes it clear but not fully differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 mention prerequisites (e.g., needing Git installed), exclusions (e.g., not for large repos), or compare it to siblings like 'git_read_files' for file content or 'git_archive' for compressed snapshots. Without such context, usage is implied but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 states the tool 'gets' commit history, implying a read-only operation, but doesn't clarify whether this requires authentication, has rate limits, returns paginated results, or what format the output takes. For a tool with 7 parameters and no annotations, this leaves significant behavioral gaps unaddressed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Get commit history for a branch') and adds essential context ('with optional filtering'). There's no wasted verbiage, and every word earns its place, making it highly concise and well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (7 parameters, no output schema, and no annotations), the description is incomplete. It doesn't explain return values, error conditions, authentication needs, or how filtering parameters interact. For a read operation with multiple optional filters, more context is needed to guide effective use, especially without annotations to cover behavioral aspects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all parameters are documented in the schema. The description adds minimal value beyond the schema by mentioning 'optional filtering,' which hints at parameters like 'author,' 'since,' 'until,' and 'grep,' but doesn't provide additional semantic context. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('commit history') with scope ('for a branch'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'git_commits_details' or 'git_commit', which might have overlapping functionality. The description is specific about what it retrieves but lacks sibling distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions 'optional filtering' which implies usage when filtering is needed, but it doesn't provide explicit guidance on when to use this tool versus alternatives like 'git_commits_details' or 'git_commit'. There's no mention of prerequisites, exclusions, or specific scenarios where this tool is preferred over siblings, leaving usage context implied rather than clearly defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

Confirm that the MCP server is working as expected.
Confirm that there are no obvious security issues.
Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

Copy to your README.md:

[![git-commands-mcp MCP server](https://glama.ai/mcp/servers/bsreeram08/git-commands-mcp/badges/card.svg)](https://glama.ai/mcp/servers/bsreeram08/git-commands-mcp)

Score Badge

Copy to your README.md:

[![git-commands-mcp MCP server](https://glama.ai/mcp/servers/bsreeram08/git-commands-mcp/badges/score.svg)](https://glama.ai/mcp/servers/bsreeram08/git-commands-mcp)

Latest Blog Posts

Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)
By Om-Shree-0709 on July 25, 2026.
mcp
Agent Identity
OAuth 2.1
Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bsreeram08/git-commands-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server