Fast MCP Telegram
Server Quality Checklist
Latest release: v0.37.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: editing messages, sending to chats or phone numbers, searching globally or per chat, retrieving chat info, and low-level API access. No ambiguity between tools.
Naming Consistency5/5All tool names follow a consistent verb_noun snake_case pattern (e.g., edit_message, find_chats, get_chat_info). No mixing of styles or vague verbs.
Tool Count5/58 tools is well-scoped for a Telegram MCP server, covering essential messaging, search, and low-level operations without being excessive or insufficient.
Completeness4/5Core messaging workflows (send, edit, search, find) are covered. Missing a delete_message tool, but invoke_mtproto can fill gaps. Minor gap for a common operation.
Average 4.3/5 across 8 of 8 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 1 of 9 community issues answered or closed in the last 6 months
- 398 commits in the last 12 weeks
- Last stable release on
- 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.
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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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds context beyond annotations: success returns an info dict, and for forum chats it respects topics_limit. No contradictions. Could mention error behavior but overall adds value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences and a link, front-loaded with core purpose. Every sentence is necessary and concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema present, return values need no elaboration. Description covers main functionality and a special case (forum topics). Could be slightly more explicit about scope (e.g., any chat type), but link to docs provides completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the description reiterates parameter meanings without substantially extending them. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'Load' and resource 'profile and metadata' for one user, bot, group, or channel, clearly distinguishing it from sibling tools like get_messages or find_chats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. The description implies usage for retrieving chat info but lacks exclusions or direct comparisons to siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide destructiveHint and openWorldHint. The description adds context about creating temporary contacts and returning contact_was_new/contact_removed, which are side effects beyond annotations. However, it does not detail error cases or all behavioral nuances.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences plus a reference link. Information is front-loaded: first sentence states the core purpose. Every word serves a purpose; no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, output schema exists), the description covers the high-level flow and return values. It relies on the schema for parameter details, which is acceptable, but could briefly mention interaction between parameters like files and message.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the schema documents all parameters thoroughly. The description provides overall flow context but does not add additional meaning to individual parameters beyond what the schema already offers.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Send') and the resource ('to a phone number'), and distinguishes it from siblings like 'send_message' by specifying the target is a phone number rather than a chat ID. It also mentions creating temporary contacts, which is specific.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for sending to phone numbers but does not explicitly compare with siblings or provide when-to-use vs when-not-to-use guidance. The link to full documentation exists but the description itself lacks direct usage guidelines.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the description's extra constraints (mutual exclusivity, output fields) add useful but not critical context. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences front-loading purpose and modes, with a link to full docs. Efficient but could be slightly more streamlined.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers all modes, constraints, and output expectations. Has output schema and documentation link. For a tool with 10 parameters and multiple modes, it provides sufficient guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so each parameter is already documented. The description adds value by explaining usage modes and mutual exclusivity, going beyond raw schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it reads or searches messages in a chat, listing specific modes (browse latest, search text, fetch by ids, load replies). Distinguishes from sibling 'search_messages_globally' by focusing on a single chat.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states not to combine message_ids with query or reply_to_id, and mentions successful output fields. Provides a documentation link for more details. Could be more direct about when to use siblings, but context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds significant context beyond the annotations: it explains the tool is destructive (edits existing message), idempotent (re-editing same text yields same result), and mentions that it only works on own messages. It also describes the success and error return formats. The annotations already indicate destructiveHint and idempotentHint, but the description elaborates on what that means in practice.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the core purpose. It is structured logically: what it does, constraints, success/error outputs, usage guidance, and a link to full docs. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there is no explicit output schema provided, the description compensates by detailing return values and error formats. It covers all key aspects: constraints, intended usage, output structure, error handling, and a reference link. This is fully sufficient for an agent to understand and use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage with clear descriptions for each of the 4 parameters, including enums and defaults. The tool description does not add any additional parameter-level meaning beyond what the schema already provides, so 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.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool replaces the text of an existing message in a Telegram chat, specifying it only works on messages sent by the authenticated account and cannot edit media or other attributes. It distinguishes itself from sibling tools like send_message by explicitly saying 'Use edit_message to update a previously sent message; use send_message to create new ones.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly tells when to use this tool (to update a previously sent message) and when to use send_message (to create new ones). It does not provide explicit when-not-to-use scenarios beyond the stated constraints, but those constraints (only own messages, text only) are clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate read-only and idempotent behavior. The description adds behavioral details: search mode depends on parameters, success returns a dict with 'chats' key. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (3-4 sentences), front-loaded with the main action, and includes essential behavioral notes without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 7 parameters, different search modes, and an output schema referenced, the description adequately explains behavior and parameter roles, making it complete for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with parameter descriptions. The description adds value by explaining how parameters affect search mode but doesn't provide new info beyond schema for individual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool finds users/groups/channels by name, username, or phone, distinguishing it from sibling tools like search_messages_globally which search messages. The verb 'Find' and resource 'chats' are specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use global search vs dialog list based on parameters (query required for global, dates/folder for dialog list). It provides context for parameter combinations but does not explicitly exclude alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (destructiveHint, openWorldHint), the description adds that dangerous methods need allow_dangerous=true and that the result is an API result dict or normalized error. This provides useful behavioral context without contradicting annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences plus a URL. The first sentence immediately states the core purpose, the second adds safety and success behavior, and the third provides a link to full docs. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (low-level arbitrary API calls) and the presence of an output schema and 100% schema coverage, the description sufficiently covers purpose, safety, result format, and a documentation link. It is complete for agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description does not add parameter-specific details beyond what the schema provides, but the schema descriptions are adequate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it is a low-level MTProto invoke for methods not wrapped by other tools, which identifies the tool's purpose and distinguishes it from the higher-level sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly mentions to use for methods not wrapped by other tools and warns about dangerous methods requiring allow_dangerous=true. However, it does not explicitly list when not to use or provide alternative tool names beyond the implicit differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations (readOnly, idempotent, openWorld), the description adds that include_total_count is ignored and describes the return structure. No contradictions with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, each informative: scope, query+filters, success output and a behavioral note. No fluff, front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite 8 parameters, the description covers purpose, scope, query format, filters, return type, and a key idiosyncrasy (include_total_count ignored). References full docs for detail. Output schema exists, so return values are sufficiently handled.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline 3. The description rephrases parameter usage (comma-separated query, optional filters) but adds no syntax or behavioral details beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it searches all Telegram chats globally, not scoped to one chat. It contrasts with per-chat tools like get_messages, establishing a distinct purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates global search scope and mentions that include_total_count is ignored. It implies use for broad search across chats, but doesn't explicitly list alternatives or exclusions beyond the sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructiveHint=true and openWorldHint=true. The description adds valuable behavioral context: auto-detected parse_mode, file attachment support (URLs, paths, data URIs), reply-to behavior for forums and channel discussion groups, and the outcome format (success/error dicts). No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is information-dense but not overly verbose. It front-loads the main action and then logically organizes supporting details. Slightly longer than necessary but efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, enum, multiple modes) and the presence of an output schema that documents return values, the description covers all key behavioral aspects, usage alternatives, and edge cases (channel posts, forum topics). It also references external documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All 5 parameters are documented in the schema with detailed descriptions (100% coverage). The description adds extra context, such as the interaction between reply_to_id and channel posts, and file type restrictions. This goes beyond the schema, meriting a score above baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Send text and optional file attachments to a Telegram chat,' clearly stating the action and target. It explicitly distinguishes from siblings by mentioning edit_message for modifications and send_message_to_phone for targeting phone numbers.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance: 'Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id.' Also explains behavior for channel posts with reply_to_id.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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